Overview

Dataset statistics

Number of variables87
Number of observations20336
Missing cells444882
Missing cells (%)25.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.5 MiB
Average record size in memory696.0 B

Variable types

Numeric76
Unsupported2
Categorical9

Alerts

HR-mean is highly correlated with HR-medianHigh correlation
HR-median is highly correlated with HR-meanHigh correlation
O2Sat-mean is highly correlated with O2Sat-medianHigh correlation
O2Sat-median is highly correlated with O2Sat-meanHigh correlation
Temp-mean is highly correlated with Temp-medianHigh correlation
Temp-median is highly correlated with Temp-meanHigh correlation
SBP-mean is highly correlated with SBP-median and 2 other fieldsHigh correlation
SBP-median is highly correlated with SBP-mean and 2 other fieldsHigh correlation
MAP-mean is highly correlated with SBP-mean and 4 other fieldsHigh correlation
MAP-median is highly correlated with SBP-mean and 4 other fieldsHigh correlation
DBP-mean is highly correlated with MAP-mean and 2 other fieldsHigh correlation
DBP-median is highly correlated with MAP-mean and 2 other fieldsHigh correlation
Resp-mean is highly correlated with Resp-medianHigh correlation
Resp-median is highly correlated with Resp-meanHigh correlation
BaseExcess-mean is highly correlated with BaseExcess-median and 4 other fieldsHigh correlation
BaseExcess-median is highly correlated with BaseExcess-mean and 4 other fieldsHigh correlation
HCO3-mean is highly correlated with BaseExcess-mean and 4 other fieldsHigh correlation
HCO3-median is highly correlated with BaseExcess-mean and 4 other fieldsHigh correlation
FiO2-mean is highly correlated with FiO2-medianHigh correlation
FiO2-median is highly correlated with FiO2-meanHigh correlation
pH-mean is highly correlated with BaseExcess-mean and 2 other fieldsHigh correlation
pH-median is highly correlated with BaseExcess-mean and 2 other fieldsHigh correlation
PaCO2-mean is highly correlated with HCO3-mean and 2 other fieldsHigh correlation
PaCO2-median is highly correlated with HCO3-mean and 2 other fieldsHigh correlation
SaO2-mean is highly correlated with SaO2-medianHigh correlation
SaO2-median is highly correlated with SaO2-meanHigh correlation
AST-mean is highly correlated with AST-medianHigh correlation
AST-median is highly correlated with AST-meanHigh correlation
BUN-mean is highly correlated with BUN-median and 2 other fieldsHigh correlation
BUN-median is highly correlated with BUN-mean and 2 other fieldsHigh correlation
Alkalinephos-mean is highly correlated with Alkalinephos-medianHigh correlation
Alkalinephos-median is highly correlated with Alkalinephos-meanHigh correlation
Calcium-mean is highly correlated with Calcium-medianHigh correlation
Calcium-median is highly correlated with Calcium-meanHigh correlation
Chloride-mean is highly correlated with Chloride-medianHigh correlation
Chloride-median is highly correlated with Chloride-meanHigh correlation
Creatinine-mean is highly correlated with BUN-mean and 2 other fieldsHigh correlation
Creatinine-median is highly correlated with BUN-mean and 2 other fieldsHigh correlation
Bilirubin_direct-mean is highly correlated with Bilirubin_direct-median and 2 other fieldsHigh correlation
Bilirubin_direct-median is highly correlated with Bilirubin_direct-mean and 2 other fieldsHigh correlation
Glucose-mean is highly correlated with Glucose-medianHigh correlation
Glucose-median is highly correlated with Glucose-meanHigh correlation
Lactate-mean is highly correlated with Lactate-medianHigh correlation
Lactate-median is highly correlated with Lactate-meanHigh correlation
Magnesium-mean is highly correlated with Magnesium-medianHigh correlation
Magnesium-median is highly correlated with Magnesium-meanHigh correlation
Phosphate-mean is highly correlated with Phosphate-medianHigh correlation
Phosphate-median is highly correlated with Phosphate-meanHigh correlation
Potassium-mean is highly correlated with Potassium-medianHigh correlation
Potassium-median is highly correlated with Potassium-meanHigh correlation
Bilirubin_total-mean is highly correlated with Bilirubin_direct-mean and 2 other fieldsHigh correlation
Bilirubin_total-median is highly correlated with Bilirubin_direct-mean and 2 other fieldsHigh correlation
TroponinI-mean is highly correlated with TroponinI-medianHigh correlation
TroponinI-median is highly correlated with TroponinI-meanHigh correlation
Hct-mean is highly correlated with Hct-median and 2 other fieldsHigh correlation
Hct-median is highly correlated with Hct-mean and 2 other fieldsHigh correlation
Hgb-mean is highly correlated with Hct-mean and 2 other fieldsHigh correlation
Hgb-median is highly correlated with Hct-mean and 2 other fieldsHigh correlation
PTT-mean is highly correlated with PTT-medianHigh correlation
PTT-median is highly correlated with PTT-meanHigh correlation
WBC-mean is highly correlated with WBC-medianHigh correlation
WBC-median is highly correlated with WBC-meanHigh correlation
Fibrinogen-mean is highly correlated with Fibrinogen-medianHigh correlation
Fibrinogen-median is highly correlated with Fibrinogen-meanHigh correlation
Platelets-mean is highly correlated with Platelets-medianHigh correlation
Platelets-median is highly correlated with Platelets-meanHigh correlation
Age-mean is highly correlated with Age-medianHigh correlation
Age-median is highly correlated with Age-meanHigh correlation
Gender-mean is highly correlated with Gender-medianHigh correlation
Gender-median is highly correlated with Gender-meanHigh correlation
Unit1-mean is highly correlated with Unit1-median and 2 other fieldsHigh correlation
Unit1-median is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
Unit2-mean is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
Unit2-median is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
HospAdmTime-mean is highly correlated with HospAdmTime-medianHigh correlation
HospAdmTime-median is highly correlated with HospAdmTime-meanHigh correlation
ICULOS-mean is highly correlated with ICULOS-median and 2 other fieldsHigh correlation
ICULOS-median is highly correlated with ICULOS-mean and 2 other fieldsHigh correlation
SepsisLabel-mean is highly correlated with SepsisLabel-median and 2 other fieldsHigh correlation
SepsisLabel-median is highly correlated with SepsisLabel-mean and 2 other fieldsHigh correlation
Sepsis-mean is highly correlated with SepsisLabel-mean and 2 other fieldsHigh correlation
Sepsis-median is highly correlated with SepsisLabel-mean and 2 other fieldsHigh correlation
Hours-mean is highly correlated with ICULOS-mean and 2 other fieldsHigh correlation
Hours-median is highly correlated with ICULOS-mean and 2 other fieldsHigh correlation
HR-mean is highly correlated with HR-medianHigh correlation
HR-median is highly correlated with HR-meanHigh correlation
O2Sat-mean is highly correlated with O2Sat-medianHigh correlation
O2Sat-median is highly correlated with O2Sat-meanHigh correlation
Temp-mean is highly correlated with Temp-medianHigh correlation
Temp-median is highly correlated with Temp-meanHigh correlation
SBP-mean is highly correlated with SBP-median and 2 other fieldsHigh correlation
SBP-median is highly correlated with SBP-mean and 2 other fieldsHigh correlation
MAP-mean is highly correlated with SBP-mean and 4 other fieldsHigh correlation
MAP-median is highly correlated with SBP-mean and 4 other fieldsHigh correlation
DBP-mean is highly correlated with MAP-mean and 2 other fieldsHigh correlation
DBP-median is highly correlated with MAP-mean and 2 other fieldsHigh correlation
Resp-mean is highly correlated with Resp-medianHigh correlation
Resp-median is highly correlated with Resp-meanHigh correlation
BaseExcess-mean is highly correlated with BaseExcess-median and 4 other fieldsHigh correlation
BaseExcess-median is highly correlated with BaseExcess-mean and 4 other fieldsHigh correlation
HCO3-mean is highly correlated with BaseExcess-mean and 4 other fieldsHigh correlation
HCO3-median is highly correlated with BaseExcess-mean and 4 other fieldsHigh correlation
FiO2-mean is highly correlated with FiO2-medianHigh correlation
FiO2-median is highly correlated with FiO2-meanHigh correlation
pH-mean is highly correlated with BaseExcess-mean and 2 other fieldsHigh correlation
pH-median is highly correlated with BaseExcess-mean and 2 other fieldsHigh correlation
PaCO2-mean is highly correlated with HCO3-mean and 2 other fieldsHigh correlation
PaCO2-median is highly correlated with HCO3-mean and 2 other fieldsHigh correlation
SaO2-mean is highly correlated with SaO2-medianHigh correlation
SaO2-median is highly correlated with SaO2-meanHigh correlation
AST-mean is highly correlated with AST-medianHigh correlation
AST-median is highly correlated with AST-meanHigh correlation
BUN-mean is highly correlated with BUN-median and 4 other fieldsHigh correlation
BUN-median is highly correlated with BUN-mean and 4 other fieldsHigh correlation
Alkalinephos-mean is highly correlated with Alkalinephos-medianHigh correlation
Alkalinephos-median is highly correlated with Alkalinephos-meanHigh correlation
Calcium-mean is highly correlated with Calcium-medianHigh correlation
Calcium-median is highly correlated with Calcium-meanHigh correlation
Chloride-mean is highly correlated with Chloride-medianHigh correlation
Chloride-median is highly correlated with Chloride-meanHigh correlation
Creatinine-mean is highly correlated with BUN-mean and 4 other fieldsHigh correlation
Creatinine-median is highly correlated with BUN-mean and 4 other fieldsHigh correlation
Bilirubin_direct-mean is highly correlated with Bilirubin_direct-median and 2 other fieldsHigh correlation
Bilirubin_direct-median is highly correlated with Bilirubin_direct-mean and 2 other fieldsHigh correlation
Glucose-mean is highly correlated with Glucose-medianHigh correlation
Glucose-median is highly correlated with Glucose-meanHigh correlation
Lactate-mean is highly correlated with Lactate-medianHigh correlation
Lactate-median is highly correlated with Lactate-meanHigh correlation
Magnesium-mean is highly correlated with Magnesium-medianHigh correlation
Magnesium-median is highly correlated with Magnesium-meanHigh correlation
Phosphate-mean is highly correlated with BUN-mean and 4 other fieldsHigh correlation
Phosphate-median is highly correlated with BUN-mean and 4 other fieldsHigh correlation
Potassium-mean is highly correlated with Potassium-medianHigh correlation
Potassium-median is highly correlated with Potassium-meanHigh correlation
Bilirubin_total-mean is highly correlated with Bilirubin_direct-mean and 2 other fieldsHigh correlation
Bilirubin_total-median is highly correlated with Bilirubin_direct-mean and 2 other fieldsHigh correlation
TroponinI-mean is highly correlated with TroponinI-medianHigh correlation
TroponinI-median is highly correlated with TroponinI-meanHigh correlation
Hct-mean is highly correlated with Hct-median and 2 other fieldsHigh correlation
Hct-median is highly correlated with Hct-mean and 2 other fieldsHigh correlation
Hgb-mean is highly correlated with Hct-mean and 2 other fieldsHigh correlation
Hgb-median is highly correlated with Hct-mean and 2 other fieldsHigh correlation
PTT-mean is highly correlated with PTT-medianHigh correlation
PTT-median is highly correlated with PTT-meanHigh correlation
WBC-mean is highly correlated with WBC-medianHigh correlation
WBC-median is highly correlated with WBC-meanHigh correlation
Fibrinogen-mean is highly correlated with Fibrinogen-medianHigh correlation
Fibrinogen-median is highly correlated with Fibrinogen-meanHigh correlation
Platelets-mean is highly correlated with Platelets-medianHigh correlation
Platelets-median is highly correlated with Platelets-meanHigh correlation
Age-mean is highly correlated with Age-medianHigh correlation
Age-median is highly correlated with Age-meanHigh correlation
Gender-mean is highly correlated with Gender-medianHigh correlation
Gender-median is highly correlated with Gender-meanHigh correlation
Unit1-mean is highly correlated with Unit1-median and 2 other fieldsHigh correlation
Unit1-median is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
Unit2-mean is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
Unit2-median is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
HospAdmTime-mean is highly correlated with HospAdmTime-medianHigh correlation
HospAdmTime-median is highly correlated with HospAdmTime-meanHigh correlation
ICULOS-mean is highly correlated with ICULOS-median and 2 other fieldsHigh correlation
ICULOS-median is highly correlated with ICULOS-mean and 2 other fieldsHigh correlation
SepsisLabel-mean is highly correlated with SepsisLabel-median and 2 other fieldsHigh correlation
SepsisLabel-median is highly correlated with SepsisLabel-mean and 2 other fieldsHigh correlation
Sepsis-mean is highly correlated with SepsisLabel-mean and 2 other fieldsHigh correlation
Sepsis-median is highly correlated with SepsisLabel-mean and 2 other fieldsHigh correlation
Hours-mean is highly correlated with ICULOS-mean and 2 other fieldsHigh correlation
Hours-median is highly correlated with ICULOS-mean and 2 other fieldsHigh correlation
HR-mean is highly correlated with HR-medianHigh correlation
HR-median is highly correlated with HR-meanHigh correlation
O2Sat-mean is highly correlated with O2Sat-medianHigh correlation
O2Sat-median is highly correlated with O2Sat-meanHigh correlation
Temp-mean is highly correlated with Temp-medianHigh correlation
Temp-median is highly correlated with Temp-meanHigh correlation
SBP-mean is highly correlated with SBP-median and 2 other fieldsHigh correlation
SBP-median is highly correlated with SBP-mean and 2 other fieldsHigh correlation
MAP-mean is highly correlated with SBP-mean and 4 other fieldsHigh correlation
MAP-median is highly correlated with SBP-mean and 4 other fieldsHigh correlation
DBP-mean is highly correlated with MAP-mean and 2 other fieldsHigh correlation
DBP-median is highly correlated with MAP-mean and 2 other fieldsHigh correlation
Resp-mean is highly correlated with Resp-medianHigh correlation
Resp-median is highly correlated with Resp-meanHigh correlation
BaseExcess-mean is highly correlated with BaseExcess-median and 2 other fieldsHigh correlation
BaseExcess-median is highly correlated with BaseExcess-mean and 2 other fieldsHigh correlation
HCO3-mean is highly correlated with BaseExcess-mean and 2 other fieldsHigh correlation
HCO3-median is highly correlated with BaseExcess-mean and 2 other fieldsHigh correlation
FiO2-mean is highly correlated with FiO2-medianHigh correlation
FiO2-median is highly correlated with FiO2-meanHigh correlation
pH-mean is highly correlated with pH-medianHigh correlation
pH-median is highly correlated with pH-meanHigh correlation
PaCO2-mean is highly correlated with PaCO2-medianHigh correlation
PaCO2-median is highly correlated with PaCO2-meanHigh correlation
SaO2-mean is highly correlated with SaO2-medianHigh correlation
SaO2-median is highly correlated with SaO2-meanHigh correlation
AST-mean is highly correlated with AST-medianHigh correlation
AST-median is highly correlated with AST-meanHigh correlation
BUN-mean is highly correlated with BUN-median and 2 other fieldsHigh correlation
BUN-median is highly correlated with BUN-mean and 2 other fieldsHigh correlation
Alkalinephos-mean is highly correlated with Alkalinephos-medianHigh correlation
Alkalinephos-median is highly correlated with Alkalinephos-meanHigh correlation
Calcium-mean is highly correlated with Calcium-medianHigh correlation
Calcium-median is highly correlated with Calcium-meanHigh correlation
Chloride-mean is highly correlated with Chloride-medianHigh correlation
Chloride-median is highly correlated with Chloride-meanHigh correlation
Creatinine-mean is highly correlated with BUN-mean and 2 other fieldsHigh correlation
Creatinine-median is highly correlated with BUN-mean and 2 other fieldsHigh correlation
Bilirubin_direct-mean is highly correlated with Bilirubin_direct-median and 2 other fieldsHigh correlation
Bilirubin_direct-median is highly correlated with Bilirubin_direct-mean and 2 other fieldsHigh correlation
Glucose-mean is highly correlated with Glucose-medianHigh correlation
Glucose-median is highly correlated with Glucose-meanHigh correlation
Lactate-mean is highly correlated with Lactate-medianHigh correlation
Lactate-median is highly correlated with Lactate-meanHigh correlation
Magnesium-mean is highly correlated with Magnesium-medianHigh correlation
Magnesium-median is highly correlated with Magnesium-meanHigh correlation
Phosphate-mean is highly correlated with Phosphate-medianHigh correlation
Phosphate-median is highly correlated with Phosphate-meanHigh correlation
Potassium-mean is highly correlated with Potassium-medianHigh correlation
Potassium-median is highly correlated with Potassium-meanHigh correlation
Bilirubin_total-mean is highly correlated with Bilirubin_direct-mean and 2 other fieldsHigh correlation
Bilirubin_total-median is highly correlated with Bilirubin_direct-mean and 2 other fieldsHigh correlation
TroponinI-mean is highly correlated with TroponinI-medianHigh correlation
TroponinI-median is highly correlated with TroponinI-meanHigh correlation
Hct-mean is highly correlated with Hct-median and 2 other fieldsHigh correlation
Hct-median is highly correlated with Hct-mean and 2 other fieldsHigh correlation
Hgb-mean is highly correlated with Hct-mean and 2 other fieldsHigh correlation
Hgb-median is highly correlated with Hct-mean and 2 other fieldsHigh correlation
PTT-mean is highly correlated with PTT-medianHigh correlation
PTT-median is highly correlated with PTT-meanHigh correlation
WBC-mean is highly correlated with WBC-medianHigh correlation
WBC-median is highly correlated with WBC-meanHigh correlation
Fibrinogen-mean is highly correlated with Fibrinogen-medianHigh correlation
Fibrinogen-median is highly correlated with Fibrinogen-meanHigh correlation
Platelets-mean is highly correlated with Platelets-medianHigh correlation
Platelets-median is highly correlated with Platelets-meanHigh correlation
Age-mean is highly correlated with Age-medianHigh correlation
Age-median is highly correlated with Age-meanHigh correlation
Gender-mean is highly correlated with Gender-medianHigh correlation
Gender-median is highly correlated with Gender-meanHigh correlation
Unit1-mean is highly correlated with Unit1-median and 2 other fieldsHigh correlation
Unit1-median is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
Unit2-mean is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
Unit2-median is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
HospAdmTime-mean is highly correlated with HospAdmTime-medianHigh correlation
HospAdmTime-median is highly correlated with HospAdmTime-meanHigh correlation
ICULOS-mean is highly correlated with ICULOS-median and 2 other fieldsHigh correlation
ICULOS-median is highly correlated with ICULOS-mean and 2 other fieldsHigh correlation
SepsisLabel-mean is highly correlated with SepsisLabel-median and 2 other fieldsHigh correlation
SepsisLabel-median is highly correlated with SepsisLabel-mean and 2 other fieldsHigh correlation
Sepsis-mean is highly correlated with SepsisLabel-mean and 2 other fieldsHigh correlation
Sepsis-median is highly correlated with SepsisLabel-mean and 2 other fieldsHigh correlation
Hours-mean is highly correlated with ICULOS-mean and 2 other fieldsHigh correlation
Hours-median is highly correlated with ICULOS-mean and 2 other fieldsHigh correlation
Unit1-mean is highly correlated with Unit1-median and 2 other fieldsHigh correlation
Unit1-median is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
Sepsis-mean is highly correlated with SepsisLabel-median and 1 other fieldsHigh correlation
Unit2-median is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
SepsisLabel-median is highly correlated with Sepsis-mean and 1 other fieldsHigh correlation
Gender-mean is highly correlated with Gender-medianHigh correlation
Gender-median is highly correlated with Gender-meanHigh correlation
Sepsis-median is highly correlated with Sepsis-mean and 1 other fieldsHigh correlation
Unit2-mean is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
Temp-mean has 235 (1.2%) missing values Missing
Temp-median has 235 (1.2%) missing values Missing
SBP-mean has 258 (1.3%) missing values Missing
SBP-median has 258 (1.3%) missing values Missing
DBP-mean has 7384 (36.3%) missing values Missing
DBP-median has 7384 (36.3%) missing values Missing
EtCO2-mean has 20336 (100.0%) missing values Missing
EtCO2-median has 20336 (100.0%) missing values Missing
BaseExcess-mean has 7684 (37.8%) missing values Missing
BaseExcess-median has 7684 (37.8%) missing values Missing
HCO3-mean has 535 (2.6%) missing values Missing
HCO3-median has 535 (2.6%) missing values Missing
FiO2-mean has 8349 (41.1%) missing values Missing
FiO2-median has 8349 (41.1%) missing values Missing
pH-mean has 7155 (35.2%) missing values Missing
pH-median has 7155 (35.2%) missing values Missing
PaCO2-mean has 7759 (38.2%) missing values Missing
PaCO2-median has 7759 (38.2%) missing values Missing
SaO2-mean has 12373 (60.8%) missing values Missing
SaO2-median has 12373 (60.8%) missing values Missing
AST-mean has 14443 (71.0%) missing values Missing
AST-median has 14443 (71.0%) missing values Missing
BUN-mean has 427 (2.1%) missing values Missing
BUN-median has 427 (2.1%) missing values Missing
Alkalinephos-mean has 14633 (72.0%) missing values Missing
Alkalinephos-median has 14633 (72.0%) missing values Missing
Calcium-mean has 3789 (18.6%) missing values Missing
Calcium-median has 3789 (18.6%) missing values Missing
Chloride-mean has 542 (2.7%) missing values Missing
Chloride-median has 542 (2.7%) missing values Missing
Creatinine-mean has 461 (2.3%) missing values Missing
Creatinine-median has 461 (2.3%) missing values Missing
Bilirubin_direct-mean has 19750 (97.1%) missing values Missing
Bilirubin_direct-median has 19750 (97.1%) missing values Missing
Glucose-mean has 407 (2.0%) missing values Missing
Glucose-median has 407 (2.0%) missing values Missing
Lactate-mean has 12603 (62.0%) missing values Missing
Lactate-median has 12603 (62.0%) missing values Missing
Magnesium-mean has 1388 (6.8%) missing values Missing
Magnesium-median has 1388 (6.8%) missing values Missing
Phosphate-mean has 3650 (17.9%) missing values Missing
Phosphate-median has 3650 (17.9%) missing values Missing
Potassium-mean has 433 (2.1%) missing values Missing
Potassium-median has 433 (2.1%) missing values Missing
Bilirubin_total-mean has 14566 (71.6%) missing values Missing
Bilirubin_total-median has 14566 (71.6%) missing values Missing
TroponinI-mean has 19847 (97.6%) missing values Missing
TroponinI-median has 19847 (97.6%) missing values Missing
Hct-mean has 364 (1.8%) missing values Missing
Hct-median has 364 (1.8%) missing values Missing
Hgb-mean has 507 (2.5%) missing values Missing
Hgb-median has 507 (2.5%) missing values Missing
PTT-mean has 4496 (22.1%) missing values Missing
PTT-median has 4496 (22.1%) missing values Missing
WBC-mean has 625 (3.1%) missing values Missing
WBC-median has 625 (3.1%) missing values Missing
Fibrinogen-mean has 17769 (87.4%) missing values Missing
Fibrinogen-median has 17769 (87.4%) missing values Missing
Platelets-mean has 585 (2.9%) missing values Missing
Platelets-median has 585 (2.9%) missing values Missing
Unit1-mean has 9522 (46.8%) missing values Missing
Unit1-median has 9522 (46.8%) missing values Missing
Unit2-mean has 9522 (46.8%) missing values Missing
Unit2-median has 9522 (46.8%) missing values Missing
PatientID has unique values Unique
EtCO2-mean is an unsupported type, check if it needs cleaning or further analysis Unsupported
EtCO2-median is an unsupported type, check if it needs cleaning or further analysis Unsupported
BaseExcess-mean has 1018 (5.0%) zeros Zeros
BaseExcess-median has 2996 (14.7%) zeros Zeros
SepsisLabel-mean has 18546 (91.2%) zeros Zeros

Reproduction

Analysis started2021-11-29 10:28:17.342726
Analysis finished2021-11-29 10:28:35.581400
Duration18.24 seconds
Software versionpandas-profiling v3.1.1
Download configurationconfig.json

Variables

PatientID
Real number (ℝ≥0)

UNIQUE

Distinct20336
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10173.60651
Minimum1
Maximum20643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:35.628359image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1017.75
Q15084.75
median10168.5
Q315252.25
95-th percentile19320.25
Maximum20643
Range20642
Interquartile range (IQR)10167.5

Descriptive statistics

Standard deviation5879.461518
Coefficient of variation (CV)0.5779132024
Kurtosis-1.192915145
Mean10173.60651
Median Absolute Deviation (MAD)5084
Skewness0.005160825078
Sum206890462
Variance34568067.75
MonotonicityStrictly increasing
2021-11-29T11:28:35.725736image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11
 
< 0.1%
135561
 
< 0.1%
135631
 
< 0.1%
135621
 
< 0.1%
135611
 
< 0.1%
135601
 
< 0.1%
135591
 
< 0.1%
135581
 
< 0.1%
135571
 
< 0.1%
135551
 
< 0.1%
Other values (20326)20326
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
21
< 0.1%
31
< 0.1%
41
< 0.1%
51
< 0.1%
61
< 0.1%
71
< 0.1%
81
< 0.1%
91
< 0.1%
101
< 0.1%
ValueCountFrequency (%)
206431
< 0.1%
206421
< 0.1%
206411
< 0.1%
206401
< 0.1%
206391
< 0.1%
206381
< 0.1%
206371
< 0.1%
206361
< 0.1%
206351
< 0.1%
206341
< 0.1%

HR-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct15835
Distinct (%)77.9%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean84.54890909
Minimum30.25806452
Maximum150.8888889
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:35.825589image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum30.25806452
5-th percentile62.23484848
Q174.67936623
median83.83333333
Q393.63794926
95-th percentile108.950766
Maximum150.8888889
Range120.6308244
Interquartile range (IQR)18.95858303

Descriptive statistics

Standard deviation14.22214204
Coefficient of variation (CV)0.1682120111
Kurtosis0.1909661708
Mean84.54890909
Median Absolute Deviation (MAD)9.49122807
Skewness0.2977791885
Sum1719302.066
Variance202.2693241
MonotonicityNot monotonic
2021-11-29T11:28:35.927392image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8821
 
0.1%
8018
 
0.1%
7017
 
0.1%
8117
 
0.1%
8316
 
0.1%
78.516
 
0.1%
7715
 
0.1%
7815
 
0.1%
7414
 
0.1%
9014
 
0.1%
Other values (15825)20172
99.2%
ValueCountFrequency (%)
30.258064521
< 0.1%
35.410256411
< 0.1%
39.619047621
< 0.1%
40.561403511
< 0.1%
411
< 0.1%
42.014285711
< 0.1%
42.411764711
< 0.1%
42.588235291
< 0.1%
42.765957451
< 0.1%
43.583333331
< 0.1%
ValueCountFrequency (%)
150.88888891
< 0.1%
150.16666671
< 0.1%
145.81
< 0.1%
145.25862071
< 0.1%
145.15384621
< 0.1%
144.18292681
< 0.1%
143.78260871
< 0.1%
142.43751
< 0.1%
142.06060611
< 0.1%
141.35294121
< 0.1%

HR-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct353
Distinct (%)1.7%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean84.06217113
Minimum30
Maximum151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:36.026706image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile61
Q174
median83.5
Q393
95-th percentile109
Maximum151
Range121
Interquartile range (IQR)19

Descriptive statistics

Standard deviation14.66009796
Coefficient of variation (CV)0.1743958996
Kurtosis0.2189910597
Mean84.06217113
Median Absolute Deviation (MAD)9.5
Skewness0.3030333462
Sum1709404.25
Variance214.9184721
MonotonicityNot monotonic
2021-11-29T11:28:36.130058image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80700
 
3.4%
90476
 
2.3%
88475
 
2.3%
84444
 
2.2%
82430
 
2.1%
85412
 
2.0%
79411
 
2.0%
70404
 
2.0%
77398
 
2.0%
87394
 
1.9%
Other values (343)15791
77.7%
ValueCountFrequency (%)
302
 
< 0.1%
331
 
< 0.1%
341
 
< 0.1%
361
 
< 0.1%
38.51
 
< 0.1%
391
 
< 0.1%
402
 
< 0.1%
41.51
 
< 0.1%
423
< 0.1%
435
< 0.1%
ValueCountFrequency (%)
1512
< 0.1%
1492
< 0.1%
1472
< 0.1%
1441
 
< 0.1%
142.751
 
< 0.1%
142.53
< 0.1%
1422
< 0.1%
141.52
< 0.1%
1402
< 0.1%
139.51
 
< 0.1%

O2Sat-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct7624
Distinct (%)37.5%
Missing12
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean97.20110086
Minimum27
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:36.230400image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile94.29685185
Q196.27272727
median97.44680851
Q398.51681034
95-th percentile99.65
Maximum100
Range73
Interquartile range (IQR)2.244083072

Descriptive statistics

Standard deviation2.233046467
Coefficient of variation (CV)0.02297346889
Kurtosis138.6936321
Mean97.20110086
Median Absolute Deviation (MAD)1.115691489
Skewness-7.318368528
Sum1975515.174
Variance4.986496523
MonotonicityNot monotonic
2021-11-29T11:28:36.327968image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100166
 
0.8%
97132
 
0.6%
99102
 
0.5%
98101
 
0.5%
9699
 
0.5%
97.587
 
0.4%
98.585
 
0.4%
96.573
 
0.4%
99.560
 
0.3%
9553
 
0.3%
Other values (7614)19366
95.2%
ValueCountFrequency (%)
271
< 0.1%
34.251
< 0.1%
491
< 0.1%
55.51
< 0.1%
56.302631581
< 0.1%
57.51
< 0.1%
61.954545451
< 0.1%
65.81
< 0.1%
66.251
< 0.1%
66.51
< 0.1%
ValueCountFrequency (%)
100166
0.8%
99.988888891
 
< 0.1%
99.986842111
 
< 0.1%
99.986111111
 
< 0.1%
99.983870972
 
< 0.1%
99.983333331
 
< 0.1%
99.982758621
 
< 0.1%
99.981818181
 
< 0.1%
99.982
 
< 0.1%
99.979591841
 
< 0.1%

O2Sat-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct86
Distinct (%)0.4%
Missing12
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean97.47929787
Minimum27
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:36.431721image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile94
Q196
median98
Q399
95-th percentile100
Maximum100
Range73
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.316854526
Coefficient of variation (CV)0.0237676571
Kurtosis126.0227646
Mean97.47929787
Median Absolute Deviation (MAD)1
Skewness-6.629905027
Sum1981169.25
Variance5.367814894
MonotonicityNot monotonic
2021-11-29T11:28:36.527791image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
983484
17.1%
973382
16.6%
1003198
15.7%
992968
14.6%
962590
12.7%
951307
 
6.4%
94548
 
2.7%
97.5438
 
2.2%
98.5370
 
1.8%
96.5340
 
1.7%
Other values (76)1699
8.4%
ValueCountFrequency (%)
271
< 0.1%
34.251
< 0.1%
491
< 0.1%
51.751
< 0.1%
55.51
< 0.1%
57.51
< 0.1%
581
< 0.1%
631
< 0.1%
64.251
< 0.1%
652
< 0.1%
ValueCountFrequency (%)
1003198
15.7%
99.7567
 
0.3%
99.5250
 
1.2%
99.2568
 
0.3%
992968
14.6%
98.7574
 
0.4%
98.5370
 
1.8%
98.2572
 
0.4%
983484
17.1%
97.7572
 
0.4%

Temp-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct10695
Distinct (%)53.2%
Missing235
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean36.91389324
Minimum30.5
Maximum39.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:36.630123image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum30.5
5-th percentile36.06636364
Q136.561
median36.90285714
Q337.26333333
95-th percentile37.81818182
Maximum39.61
Range9.11
Interquartile range (IQR)0.7023333333

Descriptive statistics

Standard deviation0.5575562462
Coefficient of variation (CV)0.01510423847
Kurtosis3.197251831
Mean36.91389324
Median Absolute Deviation (MAD)0.3500571429
Skewness-0.2923179345
Sum742006.1681
Variance0.3108689677
MonotonicityNot monotonic
2021-11-29T11:28:36.725095image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.554
 
0.3%
3754
 
0.3%
36.8954
 
0.3%
36.6148
 
0.2%
36.3946
 
0.2%
36.7537
 
0.2%
36.8333333330
 
0.1%
36.7229
 
0.1%
36.94529
 
0.1%
36.7828
 
0.1%
Other values (10685)19692
96.8%
(Missing)235
 
1.2%
ValueCountFrequency (%)
30.51
< 0.1%
32.351
< 0.1%
32.456363641
< 0.1%
32.521
< 0.1%
32.751
< 0.1%
33.041
< 0.1%
33.068421051
< 0.1%
33.116666671
< 0.1%
33.171
< 0.1%
33.38251
< 0.1%
ValueCountFrequency (%)
39.611
< 0.1%
39.3851
< 0.1%
39.3581
< 0.1%
39.34751
< 0.1%
39.2031
< 0.1%
39.1561
< 0.1%
39.1541
< 0.1%
39.110909091
< 0.1%
39.111
< 0.1%
39.091428571
< 0.1%

Temp-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct547
Distinct (%)2.7%
Missing235
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean36.94550992
Minimum30.5
Maximum40.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:36.823317image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum30.5
5-th percentile36.06
Q136.56
median36.94
Q337.33
95-th percentile37.89
Maximum40.03
Range9.53
Interquartile range (IQR)0.77

Descriptive statistics

Standard deviation0.5880792486
Coefficient of variation (CV)0.01591747549
Kurtosis2.959195879
Mean36.94550992
Median Absolute Deviation (MAD)0.38
Skewness-0.3045890144
Sum742641.695
Variance0.3458372027
MonotonicityNot monotonic
2021-11-29T11:28:36.919198image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37805
 
4.0%
36.89662
 
3.3%
36.67657
 
3.2%
36.78460
 
2.3%
36.56442
 
2.2%
37.5430
 
2.1%
36.5397
 
2.0%
36.72390
 
1.9%
37.17386
 
1.9%
37.11368
 
1.8%
Other values (537)15104
74.3%
ValueCountFrequency (%)
30.51
< 0.1%
31.671
< 0.1%
32.351
< 0.1%
32.521
< 0.1%
32.641
< 0.1%
32.91
< 0.1%
331
< 0.1%
33.111
< 0.1%
33.151
< 0.1%
33.251
< 0.1%
ValueCountFrequency (%)
40.031
< 0.1%
39.71
< 0.1%
39.611
< 0.1%
39.51
< 0.1%
39.351
< 0.1%
39.332
< 0.1%
39.31
< 0.1%
39.281
< 0.1%
39.221
< 0.1%
39.151
< 0.1%

SBP-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct15880
Distinct (%)79.1%
Missing258
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean120.24809
Minimum35
Maximum214.8181818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:37.098534image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile97.56234631
Q1108.5416667
median118.0976935
Q3130.2128258
95-th percentile150.3529419
Maximum214.8181818
Range179.8181818
Interquartile range (IQR)21.67115909

Descriptive statistics

Standard deviation16.44958943
Coefficient of variation (CV)0.1367970953
Kurtosis0.6297223171
Mean120.24809
Median Absolute Deviation (MAD)10.55658993
Skewness0.5637393354
Sum2414341.152
Variance270.5889925
MonotonicityNot monotonic
2021-11-29T11:28:37.195796image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
109.519
 
0.1%
11718
 
0.1%
115.518
 
0.1%
118.517
 
0.1%
12517
 
0.1%
11616
 
0.1%
11316
 
0.1%
107.515
 
0.1%
10815
 
0.1%
11915
 
0.1%
Other values (15870)19912
97.9%
(Missing)258
 
1.3%
ValueCountFrequency (%)
351
< 0.1%
48.517241381
< 0.1%
52.2751
< 0.1%
57.31251
< 0.1%
57.392857141
< 0.1%
58.166666671
< 0.1%
58.7251
< 0.1%
63.024390241
< 0.1%
63.051
< 0.1%
63.159090911
< 0.1%
ValueCountFrequency (%)
214.81818181
< 0.1%
207.05555561
< 0.1%
197.79166671
< 0.1%
194.66666671
< 0.1%
193.36363641
< 0.1%
191.86842111
< 0.1%
188.2450981
< 0.1%
187.751
< 0.1%
187.64705881
< 0.1%
1871
< 0.1%

SBP-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct497
Distinct (%)2.5%
Missing258
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean119.8992283
Minimum35
Maximum216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:37.298998image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile96.5
Q1107.75
median117.5
Q3130
95-th percentile151
Maximum216
Range181
Interquartile range (IQR)22.25

Descriptive statistics

Standard deviation17.09910417
Coefficient of variation (CV)0.1426122955
Kurtosis0.5591623812
Mean119.8992283
Median Absolute Deviation (MAD)11
Skewness0.5726205633
Sum2407336.705
Variance292.3793633
MonotonicityNot monotonic
2021-11-29T11:28:37.398210image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110365
 
1.8%
109359
 
1.8%
112357
 
1.8%
111355
 
1.7%
115352
 
1.7%
117343
 
1.7%
116343
 
1.7%
114340
 
1.7%
113334
 
1.6%
119327
 
1.6%
Other values (487)16603
81.6%
ValueCountFrequency (%)
351
< 0.1%
361
< 0.1%
451
< 0.1%
551
< 0.1%
562
< 0.1%
56.51
< 0.1%
571
< 0.1%
58.51
< 0.1%
611
< 0.1%
62.51
< 0.1%
ValueCountFrequency (%)
2161
 
< 0.1%
2061
 
< 0.1%
199.51
 
< 0.1%
1921
 
< 0.1%
191.51
 
< 0.1%
1911
 
< 0.1%
1902
< 0.1%
1872
< 0.1%
1861
 
< 0.1%
1854
< 0.1%

MAP-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct17616
Distinct (%)86.6%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean78.47385076
Minimum22
Maximum149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:37.502193image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile63.52564938
Q170.95047619
median77.05555556
Q384.76273148
95-th percentile97.9781875
Maximum149
Range127
Interquartile range (IQR)13.81225529

Descriptive statistics

Standard deviation10.78266445
Coefficient of variation (CV)0.1374045538
Kurtosis1.015771754
Mean78.47385076
Median Absolute Deviation (MAD)6.766929825
Skewness0.6675458805
Sum1595687.281
Variance116.2658527
MonotonicityNot monotonic
2021-11-29T11:28:37.605838image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7917
 
0.1%
7317
 
0.1%
7116
 
0.1%
79.515
 
0.1%
73.6666666714
 
0.1%
7413
 
0.1%
7813
 
0.1%
7613
 
0.1%
6912
 
0.1%
7512
 
0.1%
Other values (17606)20192
99.3%
ValueCountFrequency (%)
221
< 0.1%
32.425185191
< 0.1%
36.19151
< 0.1%
40.634193551
< 0.1%
411
< 0.1%
41.81
< 0.1%
41.9171
< 0.1%
43.0421
< 0.1%
43.2491
< 0.1%
43.51
< 0.1%
ValueCountFrequency (%)
1491
< 0.1%
141.54166671
< 0.1%
140.06578951
< 0.1%
133.14814811
< 0.1%
131.751
< 0.1%
131.28681
< 0.1%
131.11166671
< 0.1%
130.093751
< 0.1%
129.81251
< 0.1%
129.36363641
< 0.1%

MAP-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct854
Distinct (%)4.2%
Missing2
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean77.93093882
Minimum22
Maximum142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:37.705894image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile62.5
Q170
median76.25
Q384.5
95-th percentile98
Maximum142
Range120
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation11.1309419
Coefficient of variation (CV)0.1428308457
Kurtosis0.934054842
Mean77.93093882
Median Absolute Deviation (MAD)6.92
Skewness0.677033949
Sum1584647.71
Variance123.8978676
MonotonicityNot monotonic
2021-11-29T11:28:37.803792image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72534
 
2.6%
73495
 
2.4%
71494
 
2.4%
74491
 
2.4%
76483
 
2.4%
75480
 
2.4%
70465
 
2.3%
69443
 
2.2%
77416
 
2.0%
68411
 
2.0%
Other values (844)15622
76.8%
ValueCountFrequency (%)
221
 
< 0.1%
27.251
 
< 0.1%
301
 
< 0.1%
34.51
 
< 0.1%
35.831
 
< 0.1%
411
 
< 0.1%
422
< 0.1%
43.251
 
< 0.1%
43.421
 
< 0.1%
443
< 0.1%
ValueCountFrequency (%)
1421
< 0.1%
1391
< 0.1%
1341
< 0.1%
133.51
< 0.1%
1331
< 0.1%
131.0851
< 0.1%
1301
< 0.1%
128.671
< 0.1%
128.51
< 0.1%
1281
< 0.1%

DBP-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct9586
Distinct (%)74.0%
Missing7384
Missing (%)36.3%
Infinite0
Infinite (%)0.0%
Mean60.1749596
Minimum27.33333333
Maximum135.7222222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:37.904303image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum27.33333333
5-th percentile46.05235369
Q153.34050325
median59.01934524
Q365.85958501
95-th percentile78.06965409
Maximum135.7222222
Range108.3888889
Interquartile range (IQR)12.51908177

Descriptive statistics

Standard deviation9.920291131
Coefficient of variation (CV)0.1648574623
Kurtosis1.447456563
Mean60.1749596
Median Absolute Deviation (MAD)6.153132992
Skewness0.7141169379
Sum779386.0767
Variance98.41217612
MonotonicityNot monotonic
2021-11-29T11:28:38.003745image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5526
 
0.1%
5922
 
0.1%
6121
 
0.1%
6221
 
0.1%
6020
 
0.1%
6820
 
0.1%
5419
 
0.1%
6319
 
0.1%
52.519
 
0.1%
5618
 
0.1%
Other values (9576)12747
62.7%
(Missing)7384
36.3%
ValueCountFrequency (%)
27.333333331
 
< 0.1%
27.5251
 
< 0.1%
28.583333331
 
< 0.1%
293
< 0.1%
29.095744681
 
< 0.1%
30.764705881
 
< 0.1%
32.4751
 
< 0.1%
32.666666671
 
< 0.1%
32.833333331
 
< 0.1%
32.913636361
 
< 0.1%
ValueCountFrequency (%)
135.72222221
< 0.1%
1341
< 0.1%
116.54545451
< 0.1%
115.83333331
< 0.1%
110.751
< 0.1%
109.91
< 0.1%
108.6251
< 0.1%
1081
< 0.1%
107.81
< 0.1%
107.19565221
< 0.1%

DBP-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct279
Distinct (%)2.2%
Missing7384
Missing (%)36.3%
Infinite0
Infinite (%)0.0%
Mean59.51185145
Minimum22
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:38.104245image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile45
Q153
median58
Q365
95-th percentile78
Maximum134
Range112
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.02244819
Coefficient of variation (CV)0.1684109626
Kurtosis1.393943938
Mean59.51185145
Median Absolute Deviation (MAD)6
Skewness0.7247974181
Sum770797.5
Variance100.4494677
MonotonicityNot monotonic
2021-11-29T11:28:38.200390image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55460
 
2.3%
57454
 
2.2%
56422
 
2.1%
53421
 
2.1%
58398
 
2.0%
59396
 
1.9%
54387
 
1.9%
52379
 
1.9%
60377
 
1.9%
62359
 
1.8%
Other values (269)8899
43.8%
(Missing)7384
36.3%
ValueCountFrequency (%)
221
 
< 0.1%
261
 
< 0.1%
27.51
 
< 0.1%
281
 
< 0.1%
295
< 0.1%
301
 
< 0.1%
311
 
< 0.1%
31.51
 
< 0.1%
31.751
 
< 0.1%
322
 
< 0.1%
ValueCountFrequency (%)
1341
< 0.1%
1311
< 0.1%
1121
< 0.1%
110.751
< 0.1%
1101
< 0.1%
109.51
< 0.1%
108.51
< 0.1%
1082
< 0.1%
1071
< 0.1%
1051
< 0.1%

Resp-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct11537
Distinct (%)56.8%
Missing28
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean18.59127165
Minimum7.739130435
Maximum41.66666667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:38.301394image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum7.739130435
5-th percentile13.5625
Q116.05952381
median18.09175084
Q320.57366558
95-th percentile25.32476351
Maximum41.66666667
Range33.92753623
Interquartile range (IQR)4.514141768

Descriptive statistics

Standard deviation3.651738089
Coefficient of variation (CV)0.1964221791
Kurtosis1.590410436
Mean18.59127165
Median Absolute Deviation (MAD)2.216750842
Skewness0.903422218
Sum377551.5446
Variance13.33519107
MonotonicityNot monotonic
2021-11-29T11:28:38.398331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1671
 
0.3%
1862
 
0.3%
1758
 
0.3%
2049
 
0.2%
17.548
 
0.2%
16.545
 
0.2%
1944
 
0.2%
1543
 
0.2%
18.541
 
0.2%
15.540
 
0.2%
Other values (11527)19807
97.4%
ValueCountFrequency (%)
7.7391304351
< 0.1%
8.4047619051
< 0.1%
91
< 0.1%
9.21
< 0.1%
9.3636363641
< 0.1%
9.4293478261
< 0.1%
9.51
< 0.1%
9.6086956521
< 0.1%
9.6666666671
< 0.1%
9.7908163271
< 0.1%
ValueCountFrequency (%)
41.666666671
< 0.1%
40.222222221
< 0.1%
39.51
< 0.1%
38.153846151
< 0.1%
37.913043481
< 0.1%
37.751
< 0.1%
37.357142861
< 0.1%
37.31251
< 0.1%
36.877272731
< 0.1%
36.751
< 0.1%

Resp-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct156
Distinct (%)0.8%
Missing28
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean18.3511333
Minimum6
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:38.499448image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile13
Q116
median18
Q320.5
95-th percentile25
Maximum42
Range36
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation3.862887796
Coefficient of variation (CV)0.2104985961
Kurtosis1.457467162
Mean18.3511333
Median Absolute Deviation (MAD)2
Skewness0.8452002569
Sum372674.815
Variance14.92190212
MonotonicityNot monotonic
2021-11-29T11:28:38.678528image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
162060
 
10.1%
182007
 
9.9%
171741
 
8.6%
201562
 
7.7%
191385
 
6.8%
151272
 
6.3%
141206
 
5.9%
21991
 
4.9%
22875
 
4.3%
23572
 
2.8%
Other values (146)6637
32.6%
ValueCountFrequency (%)
61
 
< 0.1%
88
 
< 0.1%
8.251
 
< 0.1%
98
 
< 0.1%
9.54
 
< 0.1%
1071
0.3%
10.1251
 
< 0.1%
10.251
 
< 0.1%
10.512
 
0.1%
10.6251
 
< 0.1%
ValueCountFrequency (%)
421
 
< 0.1%
41.51
 
< 0.1%
402
< 0.1%
38.52
< 0.1%
381
 
< 0.1%
37.51
 
< 0.1%
374
< 0.1%
36.751
 
< 0.1%
36.52
< 0.1%
36.252
< 0.1%

EtCO2-mean
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing20336
Missing (%)100.0%
Memory size159.0 KiB

EtCO2-median
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing20336
Missing (%)100.0%
Memory size159.0 KiB

BaseExcess-mean
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct1807
Distinct (%)14.3%
Missing7684
Missing (%)37.8%
Infinite0
Infinite (%)0.0%
Mean-0.3804393698
Minimum-25
Maximum25
Zeros1018
Zeros (%)5.0%
Negative6636
Negative (%)32.6%
Memory size159.0 KiB
2021-11-29T11:28:38.778676image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-25
5-th percentile-6.153571429
Q1-2
median-0.2857142857
Q31.2
95-th percentile5.75
Maximum25
Range50
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation3.825150717
Coefficient of variation (CV)-10.05456065
Kurtosis4.943321824
Mean-0.3804393698
Median Absolute Deviation (MAD)1.714285714
Skewness-0.0485160246
Sum-4813.318907
Variance14.63177801
MonotonicityNot monotonic
2021-11-29T11:28:38.871603image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01018
 
5.0%
-1486
 
2.4%
1463
 
2.3%
-2369
 
1.8%
2321
 
1.6%
3251
 
1.2%
-3239
 
1.2%
-0.5216
 
1.1%
0.5212
 
1.0%
4175
 
0.9%
Other values (1797)8902
43.8%
(Missing)7684
37.8%
ValueCountFrequency (%)
-251
< 0.1%
-24.51
< 0.1%
-242
< 0.1%
-22.666666671
< 0.1%
-22.251
< 0.1%
-21.751
< 0.1%
-21.61
< 0.1%
-21.071428571
< 0.1%
-20.52
< 0.1%
-20.333333331
< 0.1%
ValueCountFrequency (%)
251
 
< 0.1%
241
 
< 0.1%
212
< 0.1%
20.714285711
 
< 0.1%
201
 
< 0.1%
19.333333331
 
< 0.1%
193
< 0.1%
18.818181821
 
< 0.1%
18.81
 
< 0.1%
183
< 0.1%

BaseExcess-median
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct125
Distinct (%)1.0%
Missing7684
Missing (%)37.8%
Infinite0
Infinite (%)0.0%
Mean-0.3486998103
Minimum-25.5
Maximum25
Zeros2996
Zeros (%)14.7%
Negative5559
Negative (%)27.3%
Memory size159.0 KiB
2021-11-29T11:28:38.964952image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-25.5
5-th percentile-6
Q1-2
median0
Q31
95-th percentile6
Maximum25
Range50.5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.845161744
Coefficient of variation (CV)-11.02714034
Kurtosis5.010842562
Mean-0.3486998103
Median Absolute Deviation (MAD)2
Skewness-0.08744974129
Sum-4411.75
Variance14.78526884
MonotonicityNot monotonic
2021-11-29T11:28:39.061575image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02996
 
14.7%
-11165
 
5.7%
-2913
 
4.5%
1875
 
4.3%
-3715
 
3.5%
2665
 
3.3%
3480
 
2.4%
-4476
 
2.3%
-0.5353
 
1.7%
4344
 
1.7%
Other values (115)3670
18.0%
(Missing)7684
37.8%
ValueCountFrequency (%)
-25.51
 
< 0.1%
-251
 
< 0.1%
-24.51
 
< 0.1%
-242
 
< 0.1%
-231
 
< 0.1%
-22.251
 
< 0.1%
-21.51
 
< 0.1%
-212
 
< 0.1%
-20.51
 
< 0.1%
-205
< 0.1%
ValueCountFrequency (%)
251
 
< 0.1%
241
 
< 0.1%
213
 
< 0.1%
201
 
< 0.1%
195
< 0.1%
189
< 0.1%
17.51
 
< 0.1%
175
< 0.1%
16.51
 
< 0.1%
1611
0.1%

HCO3-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct791
Distinct (%)4.0%
Missing535
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean24.40642358
Minimum5
Maximum54.33333333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:39.157001image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile18
Q122.2
median24.33333333
Q326.5
95-th percentile30.5
Maximum54.33333333
Range49.33333333
Interquartile range (IQR)4.3

Descriptive statistics

Standard deviation3.90020506
Coefficient of variation (CV)0.1598023998
Kurtosis3.089016315
Mean24.40642358
Median Absolute Deviation (MAD)2.166666667
Skewness0.4065426165
Sum483271.5934
Variance15.21159951
MonotonicityNot monotonic
2021-11-29T11:28:39.253370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
251367
 
6.7%
241340
 
6.6%
261163
 
5.7%
231153
 
5.7%
22891
 
4.4%
27873
 
4.3%
28576
 
2.8%
21565
 
2.8%
24.5533
 
2.6%
23.5460
 
2.3%
Other values (781)10880
53.5%
(Missing)535
 
2.6%
ValueCountFrequency (%)
51
 
< 0.1%
61
 
< 0.1%
6.52
 
< 0.1%
71
 
< 0.1%
7.21
 
< 0.1%
7.4285714291
 
< 0.1%
85
< 0.1%
8.3636363641
 
< 0.1%
8.51
 
< 0.1%
95
< 0.1%
ValueCountFrequency (%)
54.333333331
< 0.1%
511
< 0.1%
501
< 0.1%
481
< 0.1%
47.666666672
< 0.1%
46.51
< 0.1%
46.333333331
< 0.1%
462
< 0.1%
45.51
< 0.1%
45.251
< 0.1%

HCO3-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct101
Distinct (%)0.5%
Missing535
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean24.40773193
Minimum5
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:39.346286image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile18
Q122
median24
Q326.5
95-th percentile31
Maximum55
Range50
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation3.936552844
Coefficient of variation (CV)0.1612830252
Kurtosis3.050904352
Mean24.40773193
Median Absolute Deviation (MAD)2
Skewness0.3942297783
Sum483297.5
Variance15.4964483
MonotonicityNot monotonic
2021-11-29T11:28:39.441992image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
252056
 
10.1%
241972
 
9.7%
231783
 
8.8%
261670
 
8.2%
221407
 
6.9%
271248
 
6.1%
21921
 
4.5%
28833
 
4.1%
20684
 
3.4%
24.5589
 
2.9%
Other values (91)6638
32.6%
ValueCountFrequency (%)
51
 
< 0.1%
61
 
< 0.1%
6.52
 
< 0.1%
73
 
< 0.1%
87
< 0.1%
8.52
 
< 0.1%
98
< 0.1%
9.52
 
< 0.1%
108
< 0.1%
10.52
 
< 0.1%
ValueCountFrequency (%)
551
 
< 0.1%
511
 
< 0.1%
501
 
< 0.1%
491
 
< 0.1%
481
 
< 0.1%
47.51
 
< 0.1%
471
 
< 0.1%
46.51
 
< 0.1%
463
< 0.1%
45.51
 
< 0.1%

FiO2-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1891
Distinct (%)15.8%
Missing8349
Missing (%)41.1%
Infinite0
Infinite (%)0.0%
Mean0.5401693434
Minimum0
Maximum10
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:39.539677image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3766666667
Q10.4428571429
median0.5055555556
Q30.6
95-th percentile0.8333333333
Maximum10
Range10
Interquartile range (IQR)0.1571428571

Descriptive statistics

Standard deviation0.1667768776
Coefficient of variation (CV)0.3087492462
Kurtosis863.7380682
Mean0.5401693434
Median Absolute Deviation (MAD)0.07777777778
Skewness15.93688734
Sum6475.009919
Variance0.0278145269
MonotonicityNot monotonic
2021-11-29T11:28:39.640844image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.51114
 
5.5%
0.4688
 
3.4%
0.6338
 
1.7%
1312
 
1.5%
0.45231
 
1.1%
0.55195
 
1.0%
0.625192
 
0.9%
0.6666666667166
 
0.8%
0.4164
 
0.8%
0.7137
 
0.7%
Other values (1881)8450
41.6%
(Missing)8349
41.1%
ValueCountFrequency (%)
02
< 0.1%
0.022
< 0.1%
0.034
< 0.1%
0.043
< 0.1%
0.081
 
< 0.1%
0.111
 
< 0.1%
0.151
 
< 0.1%
0.181
 
< 0.1%
0.1841
 
< 0.1%
0.21
 
< 0.1%
ValueCountFrequency (%)
101
 
< 0.1%
1312
1.5%
0.99666666671
 
< 0.1%
0.99473684211
 
< 0.1%
0.99333333331
 
< 0.1%
0.99285714291
 
< 0.1%
0.99166666671
 
< 0.1%
0.994
 
< 0.1%
0.98842105261
 
< 0.1%
0.98751
 
< 0.1%

FiO2-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct102
Distinct (%)0.9%
Missing8349
Missing (%)41.1%
Infinite0
Infinite (%)0.0%
Mean0.509014766
Minimum0
Maximum10
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:39.742485image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.35
Q10.4
median0.5
Q30.5
95-th percentile0.9
Maximum10
Range10
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.1741220653
Coefficient of variation (CV)0.3420766486
Kurtosis737.4129205
Mean0.509014766
Median Absolute Deviation (MAD)0.1
Skewness14.6051189
Sum6101.56
Variance0.03031849361
MonotonicityNot monotonic
2021-11-29T11:28:39.838973image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.54390
21.6%
0.43627
17.8%
0.6811
 
4.0%
1506
 
2.5%
0.7483
 
2.4%
0.45419
 
2.1%
0.35313
 
1.5%
0.55260
 
1.3%
0.3165
 
0.8%
0.8135
 
0.7%
Other values (92)878
 
4.3%
(Missing)8349
41.1%
ValueCountFrequency (%)
02
 
< 0.1%
0.022
 
< 0.1%
0.034
 
< 0.1%
0.047
 
< 0.1%
0.052
 
< 0.1%
0.081
 
< 0.1%
0.111
 
< 0.1%
0.151
 
< 0.1%
0.230
0.1%
0.2052
 
< 0.1%
ValueCountFrequency (%)
101
 
< 0.1%
1506
2.5%
0.9951
 
< 0.1%
0.995
 
< 0.1%
0.984
 
< 0.1%
0.9753
 
< 0.1%
0.972
 
< 0.1%
0.9652
 
< 0.1%
0.961
 
< 0.1%
0.9551
 
< 0.1%

pH-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2188
Distinct (%)16.6%
Missing7155
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean7.383642509
Minimum6.63
Maximum7.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:39.938608image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6.63
5-th percentile7.29
Q17.355
median7.386666667
Q37.42
95-th percentile7.47
Maximum7.73
Range1.1
Interquartile range (IQR)0.065

Descriptive statistics

Standard deviation0.05900372908
Coefficient of variation (CV)0.007991141095
Kurtosis9.115096707
Mean7.383642509
Median Absolute Deviation (MAD)0.03238095238
Skewness-1.361189307
Sum97323.79191
Variance0.003481440046
MonotonicityNot monotonic
2021-11-29T11:28:40.032767image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.4329
 
1.6%
7.37328
 
1.6%
7.38324
 
1.6%
7.42259
 
1.3%
7.43244
 
1.2%
7.41230
 
1.1%
7.39188
 
0.9%
7.44184
 
0.9%
7.35177
 
0.9%
7.36170
 
0.8%
Other values (2178)10748
52.9%
(Missing)7155
35.2%
ValueCountFrequency (%)
6.631
< 0.1%
6.651
< 0.1%
6.871
< 0.1%
6.91
< 0.1%
6.941
< 0.1%
6.941
< 0.1%
6.951
< 0.1%
6.961
< 0.1%
6.9621
< 0.1%
6.9751
< 0.1%
ValueCountFrequency (%)
7.731
< 0.1%
7.6951
< 0.1%
7.661
< 0.1%
7.631
< 0.1%
7.591
< 0.1%
7.5851
< 0.1%
7.5751
< 0.1%
7.5733333331
< 0.1%
7.5666666671
< 0.1%
7.5651
< 0.1%

pH-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct153
Distinct (%)1.2%
Missing7155
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean7.384674911
Minimum6.63
Maximum7.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:40.216441image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6.63
5-th percentile7.29
Q17.355
median7.39
Q37.42
95-th percentile7.47
Maximum7.73
Range1.1
Interquartile range (IQR)0.065

Descriptive statistics

Standard deviation0.05959166947
Coefficient of variation (CV)0.008069640193
Kurtosis8.812019318
Mean7.384674911
Median Absolute Deviation (MAD)0.03
Skewness-1.340091006
Sum97337.4
Variance0.003551167071
MonotonicityNot monotonic
2021-11-29T11:28:40.311593image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.4906
 
4.5%
7.38834
 
4.1%
7.37799
 
3.9%
7.39730
 
3.6%
7.41717
 
3.5%
7.42681
 
3.3%
7.35605
 
3.0%
7.36600
 
3.0%
7.43551
 
2.7%
7.34465
 
2.3%
Other values (143)6293
30.9%
(Missing)7155
35.2%
ValueCountFrequency (%)
6.631
< 0.1%
6.651
< 0.1%
6.871
< 0.1%
6.91
< 0.1%
6.921
< 0.1%
6.941
< 0.1%
6.941
< 0.1%
6.962
< 0.1%
6.971
< 0.1%
6.9751
< 0.1%
ValueCountFrequency (%)
7.731
< 0.1%
7.6951
< 0.1%
7.661
< 0.1%
7.631
< 0.1%
7.592
< 0.1%
7.5851
< 0.1%
7.581
< 0.1%
7.5751
< 0.1%
7.5651
< 0.1%
7.561
< 0.1%

PaCO2-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2061
Distinct (%)16.4%
Missing7759
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean41.14150912
Minimum10
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:40.411996image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile31
Q136.875
median40.26923077
Q344.1875
95-th percentile53.40571429
Maximum98
Range88
Interquartile range (IQR)7.3125

Descriptive statistics

Standard deviation7.683341373
Coefficient of variation (CV)0.1867539995
Kurtosis7.048028623
Mean41.14150912
Median Absolute Deviation (MAD)3.730769231
Skewness1.704228689
Sum517436.7602
Variance59.03373465
MonotonicityNot monotonic
2021-11-29T11:28:40.508012image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40303
 
1.5%
38283
 
1.4%
41280
 
1.4%
39278
 
1.4%
43262
 
1.3%
42260
 
1.3%
37253
 
1.2%
44238
 
1.2%
36202
 
1.0%
45195
 
1.0%
Other values (2051)10023
49.3%
(Missing)7759
38.2%
ValueCountFrequency (%)
101
< 0.1%
15.51
< 0.1%
162
< 0.1%
171
< 0.1%
18.751
< 0.1%
18.833333331
< 0.1%
191
< 0.1%
19.142857141
< 0.1%
19.21
< 0.1%
19.251
< 0.1%
ValueCountFrequency (%)
981
< 0.1%
96.751
< 0.1%
95.333333331
< 0.1%
941
< 0.1%
93.51
< 0.1%
932
< 0.1%
91.666666671
< 0.1%
91.251
< 0.1%
901
< 0.1%
89.51
< 0.1%

PaCO2-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct188
Distinct (%)1.5%
Missing7759
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean40.97686253
Minimum10
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:40.608752image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile31
Q137
median40
Q344
95-th percentile53
Maximum99
Range89
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.724370697
Coefficient of variation (CV)0.1885056644
Kurtosis7.101296055
Mean40.97686253
Median Absolute Deviation (MAD)4
Skewness1.691919114
Sum515366
Variance59.66590267
MonotonicityNot monotonic
2021-11-29T11:28:40.704967image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40733
 
3.6%
39680
 
3.3%
41669
 
3.3%
38665
 
3.3%
42627
 
3.1%
37594
 
2.9%
43564
 
2.8%
36535
 
2.6%
44502
 
2.5%
35411
 
2.0%
Other values (178)6597
32.4%
(Missing)7759
38.2%
ValueCountFrequency (%)
101
 
< 0.1%
15.51
 
< 0.1%
163
 
< 0.1%
182
 
< 0.1%
18.51
 
< 0.1%
194
< 0.1%
19.51
 
< 0.1%
206
< 0.1%
20.54
< 0.1%
219
< 0.1%
ValueCountFrequency (%)
991
 
< 0.1%
981
 
< 0.1%
96.51
 
< 0.1%
941
 
< 0.1%
93.51
 
< 0.1%
932
 
< 0.1%
921
 
< 0.1%
911
 
< 0.1%
89.51
 
< 0.1%
895
< 0.1%

SaO2-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1382
Distinct (%)17.4%
Missing12373
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean91.7306866
Minimum29.5
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:40.803073image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum29.5
5-th percentile71
Q189.29705882
median96
Q397.7
95-th percentile98.66666667
Maximum100
Range70.5
Interquartile range (IQR)8.402941176

Descriptive statistics

Standard deviation9.105877385
Coefficient of variation (CV)0.09926751584
Kurtosis4.497235356
Mean91.7306866
Median Absolute Deviation (MAD)2
Skewness-2.023994356
Sum730451.4574
Variance82.91700296
MonotonicityNot monotonic
2021-11-29T11:28:40.896577image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
981025
 
5.0%
97576
 
2.8%
99315
 
1.5%
96309
 
1.5%
97.5226
 
1.1%
98.5170
 
0.8%
95160
 
0.8%
96.5113
 
0.6%
94110
 
0.5%
97.6666666798
 
0.5%
Other values (1372)4861
 
23.9%
(Missing)12373
60.8%
ValueCountFrequency (%)
29.51
< 0.1%
301
< 0.1%
31.51
< 0.1%
32.251
< 0.1%
401
< 0.1%
41.251
< 0.1%
41.333333331
< 0.1%
41.51
< 0.1%
421
< 0.1%
431
< 0.1%
ValueCountFrequency (%)
10018
 
0.1%
99.52
 
< 0.1%
99.333333331
 
< 0.1%
99.22
 
< 0.1%
99315
1.5%
98.833333333
 
< 0.1%
98.821428571
 
< 0.1%
98.81
 
< 0.1%
98.791666671
 
< 0.1%
98.7513
 
0.1%

SaO2-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct158
Distinct (%)2.0%
Missing12373
Missing (%)60.8%
Infinite0
Infinite (%)0.0%
Mean92.95674997
Minimum29.5
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:40.997321image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum29.5
5-th percentile69
Q194.5
median97
Q398
95-th percentile99
Maximum100
Range70.5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation9.561328494
Coefficient of variation (CV)0.1028578183
Kurtosis5.396745734
Mean92.95674997
Median Absolute Deviation (MAD)1
Skewness-2.381941831
Sum740214.6
Variance91.41900257
MonotonicityNot monotonic
2021-11-29T11:28:41.092666image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
982084
 
10.2%
971364
 
6.7%
96701
 
3.4%
99459
 
2.3%
97.5344
 
1.7%
95339
 
1.7%
96.5229
 
1.1%
94205
 
1.0%
98.5198
 
1.0%
95.5109
 
0.5%
Other values (148)1931
 
9.5%
(Missing)12373
60.8%
ValueCountFrequency (%)
29.51
< 0.1%
301
< 0.1%
311
< 0.1%
31.51
< 0.1%
401
< 0.1%
40.51
< 0.1%
41.51
< 0.1%
422
< 0.1%
431
< 0.1%
442
< 0.1%
ValueCountFrequency (%)
10021
 
0.1%
99.53
 
< 0.1%
99459
 
2.3%
98.91
 
< 0.1%
98.753
 
< 0.1%
98.5198
 
1.0%
98.2510
 
< 0.1%
982084
10.2%
97.8752
 
< 0.1%
97.755
 
< 0.1%

AST-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1304
Distinct (%)22.1%
Missing14443
Missing (%)71.0%
Infinite0
Infinite (%)0.0%
Mean185.7381345
Minimum3
Maximum9210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:41.193582image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile14
Q123.33333333
median43
Q398
95-th percentile688.6
Maximum9210
Range9207
Interquartile range (IQR)74.66666667

Descriptive statistics

Standard deviation618.0870944
Coefficient of variation (CV)3.327733941
Kurtosis71.7154808
Mean185.7381345
Median Absolute Deviation (MAD)24
Skewness7.728193141
Sum1094554.827
Variance382031.6562
MonotonicityNot monotonic
2021-11-29T11:28:41.288664image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19126
 
0.6%
18125
 
0.6%
24119
 
0.6%
17119
 
0.6%
16116
 
0.6%
22113
 
0.6%
20106
 
0.5%
15104
 
0.5%
21103
 
0.5%
2395
 
0.5%
Other values (1294)4767
 
23.4%
(Missing)14443
71.0%
ValueCountFrequency (%)
32
 
< 0.1%
41
 
< 0.1%
51
 
< 0.1%
65
 
< 0.1%
75
 
< 0.1%
810
< 0.1%
8.251
 
< 0.1%
8.41
 
< 0.1%
8.53
 
< 0.1%
914
0.1%
ValueCountFrequency (%)
92101
< 0.1%
85911
< 0.1%
7868.81
< 0.1%
7697.3333331
< 0.1%
7438.51
< 0.1%
73931
< 0.1%
7279.41
< 0.1%
71741
< 0.1%
6982.51
< 0.1%
6910.51
< 0.1%

AST-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct949
Distinct (%)16.1%
Missing14443
Missing (%)71.0%
Infinite0
Infinite (%)0.0%
Mean182.4755218
Minimum3
Maximum9210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:41.384789image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile14
Q123
median42
Q398
95-th percentile659.6
Maximum9210
Range9207
Interquartile range (IQR)75

Descriptive statistics

Standard deviation618.8133575
Coefficient of variation (CV)3.391212977
Kurtosis76.78142027
Mean182.4755218
Median Absolute Deviation (MAD)23
Skewness8.007395477
Sum1075328.25
Variance382929.9714
MonotonicityNot monotonic
2021-11-29T11:28:41.479652image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24131
 
0.6%
18131
 
0.6%
19123
 
0.6%
17122
 
0.6%
16118
 
0.6%
22116
 
0.6%
20111
 
0.5%
21108
 
0.5%
15106
 
0.5%
23101
 
0.5%
Other values (939)4726
 
23.2%
(Missing)14443
71.0%
ValueCountFrequency (%)
32
 
< 0.1%
41
 
< 0.1%
51
 
< 0.1%
65
 
< 0.1%
75
 
< 0.1%
811
0.1%
8.251
 
< 0.1%
8.53
 
< 0.1%
916
0.1%
9.51
 
< 0.1%
ValueCountFrequency (%)
92101
< 0.1%
85911
< 0.1%
84721
< 0.1%
77511
< 0.1%
76991
< 0.1%
76341
< 0.1%
75051
< 0.1%
7438.51
< 0.1%
71741
< 0.1%
69491
< 0.1%

BUN-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1554
Distinct (%)7.8%
Missing427
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean22.57039553
Minimum1.285714286
Maximum227.3333333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:41.578000image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.285714286
5-th percentile7
Q112
median17
Q326
95-th percentile59.27142857
Maximum227.3333333
Range226.047619
Interquartile range (IQR)14

Descriptive statistics

Standard deviation18.18592295
Coefficient of variation (CV)0.8057423239
Kurtosis10.13880362
Mean22.57039553
Median Absolute Deviation (MAD)6
Skewness2.679689373
Sum449354.0046
Variance330.7277934
MonotonicityNot monotonic
2021-11-29T11:28:41.755310image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11578
 
2.8%
14571
 
2.8%
13566
 
2.8%
12541
 
2.7%
15508
 
2.5%
10486
 
2.4%
16475
 
2.3%
17442
 
2.2%
9435
 
2.1%
18389
 
1.9%
Other values (1544)14918
73.4%
(Missing)427
 
2.1%
ValueCountFrequency (%)
1.2857142861
 
< 0.1%
1.51
 
< 0.1%
1.6666666671
 
< 0.1%
1.8571428571
 
< 0.1%
28
 
< 0.1%
2.3333333332
 
< 0.1%
2.55
 
< 0.1%
2.6666666673
 
< 0.1%
2.82
 
< 0.1%
334
0.2%
ValueCountFrequency (%)
227.33333331
< 0.1%
187.51
< 0.1%
178.51
< 0.1%
1771
< 0.1%
170.51
< 0.1%
169.51
< 0.1%
1681
< 0.1%
166.751
< 0.1%
163.33333331
< 0.1%
159.33333331
< 0.1%

BUN-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct284
Distinct (%)1.4%
Missing427
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean22.49028078
Minimum1
Maximum232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:41.850173image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q112
median17
Q326
95-th percentile59.5
Maximum232
Range231
Interquartile range (IQR)14

Descriptive statistics

Standard deviation18.27856067
Coefficient of variation (CV)0.812731546
Kurtosis10.28869399
Mean22.49028078
Median Absolute Deviation (MAD)6
Skewness2.698542597
Sum447759
Variance334.1057801
MonotonicityNot monotonic
2021-11-29T11:28:41.943271image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13838
 
4.1%
14832
 
4.1%
11830
 
4.1%
12806
 
4.0%
15786
 
3.9%
16740
 
3.6%
10719
 
3.5%
17647
 
3.2%
9609
 
3.0%
18597
 
2.9%
Other values (274)12505
61.5%
ValueCountFrequency (%)
11
 
< 0.1%
1.51
 
< 0.1%
214
 
0.1%
2.55
 
< 0.1%
349
 
0.2%
3.520
 
0.1%
489
0.4%
4.535
 
0.2%
5190
0.9%
5.567
 
0.3%
ValueCountFrequency (%)
2321
< 0.1%
187.51
< 0.1%
1771
< 0.1%
175.51
< 0.1%
1721
< 0.1%
169.51
< 0.1%
1691
< 0.1%
166.51
< 0.1%
1661
< 0.1%
1641
< 0.1%

Alkalinephos-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1107
Distinct (%)19.4%
Missing14633
Missing (%)72.0%
Infinite0
Infinite (%)0.0%
Mean109.4410878
Minimum7
Maximum3726
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:42.037827image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile37
Q157
median77
Q3114
95-th percentile278
Maximum3726
Range3719
Interquartile range (IQR)57

Descriptive statistics

Standard deviation131.1173409
Coefficient of variation (CV)1.19806321
Kurtosis169.7134387
Mean109.4410878
Median Absolute Deviation (MAD)25
Skewness9.646002046
Sum624142.5237
Variance17191.75709
MonotonicityNot monotonic
2021-11-29T11:28:42.134138image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5569
 
0.3%
6367
 
0.3%
6767
 
0.3%
5967
 
0.3%
6065
 
0.3%
4964
 
0.3%
6462
 
0.3%
6162
 
0.3%
5361
 
0.3%
6660
 
0.3%
Other values (1097)5059
 
24.9%
(Missing)14633
72.0%
ValueCountFrequency (%)
71
< 0.1%
121
< 0.1%
151
< 0.1%
171
< 0.1%
181
< 0.1%
191
< 0.1%
19.52
< 0.1%
202
< 0.1%
222
< 0.1%
22.333333331
< 0.1%
ValueCountFrequency (%)
37261
< 0.1%
25281
< 0.1%
2182.6666671
< 0.1%
2145.51
< 0.1%
20201
< 0.1%
16691
< 0.1%
15291
< 0.1%
1477.6666671
< 0.1%
14371
< 0.1%
12881
< 0.1%

Alkalinephos-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct679
Distinct (%)11.9%
Missing14633
Missing (%)72.0%
Infinite0
Infinite (%)0.0%
Mean109.3258811
Minimum7
Maximum3726
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:42.237058image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile37
Q156.5
median77
Q3114
95-th percentile277.9
Maximum3726
Range3719
Interquartile range (IQR)57.5

Descriptive statistics

Standard deviation131.6314989
Coefficient of variation (CV)1.204028703
Kurtosis170.2751897
Mean109.3258811
Median Absolute Deviation (MAD)25
Skewness9.686414502
Sum623485.5
Variance17326.8515
MonotonicityNot monotonic
2021-11-29T11:28:42.332986image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5978
 
0.4%
6774
 
0.4%
5574
 
0.4%
6371
 
0.3%
6070
 
0.3%
4969
 
0.3%
6168
 
0.3%
5368
 
0.3%
5266
 
0.3%
6965
 
0.3%
Other values (669)5000
 
24.6%
(Missing)14633
72.0%
ValueCountFrequency (%)
71
 
< 0.1%
121
 
< 0.1%
151
 
< 0.1%
171
 
< 0.1%
181
 
< 0.1%
191
 
< 0.1%
19.52
< 0.1%
202
< 0.1%
223
< 0.1%
22.51
 
< 0.1%
ValueCountFrequency (%)
37261
< 0.1%
25281
< 0.1%
23321
< 0.1%
2145.51
< 0.1%
20201
< 0.1%
16691
< 0.1%
15001
< 0.1%
14511
< 0.1%
14371
< 0.1%
12791
< 0.1%

Calcium-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct905
Distinct (%)5.5%
Missing3789
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean8.347046095
Minimum3.9
Maximum16.76666667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:42.434494image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile7.3
Q17.9
median8.325
Q38.75
95-th percentile9.433333333
Maximum16.76666667
Range12.86666667
Interquartile range (IQR)0.85

Descriptive statistics

Standard deviation0.6981063075
Coefficient of variation (CV)0.08363513267
Kurtosis6.594771934
Mean8.347046095
Median Absolute Deviation (MAD)0.425
Skewness0.7262989842
Sum138118.5717
Variance0.4873524166
MonotonicityNot monotonic
2021-11-29T11:28:42.534283image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.5656
 
3.2%
8.3603
 
3.0%
8.6597
 
2.9%
8.4595
 
2.9%
8.2567
 
2.8%
8.1550
 
2.7%
8508
 
2.5%
8.7471
 
2.3%
8.8463
 
2.3%
7.9395
 
1.9%
Other values (895)11142
54.8%
(Missing)3789
 
18.6%
ValueCountFrequency (%)
3.91
 
< 0.1%
4.51
 
< 0.1%
4.6714285711
 
< 0.1%
4.72
< 0.1%
5.33
< 0.1%
5.41
 
< 0.1%
5.63
< 0.1%
5.71
 
< 0.1%
5.72
< 0.1%
5.76251
 
< 0.1%
ValueCountFrequency (%)
16.766666671
< 0.1%
15.71
< 0.1%
15.651
< 0.1%
15.41
< 0.1%
14.951
< 0.1%
14.8251
< 0.1%
13.951
< 0.1%
13.61
< 0.1%
13.333333331
< 0.1%
13.21
< 0.1%

Calcium-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct187
Distinct (%)1.1%
Missing3789
Missing (%)18.6%
Infinite0
Infinite (%)0.0%
Mean8.347399831
Minimum3.9
Maximum17.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:42.632115image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile7.3
Q17.9
median8.3
Q38.75
95-th percentile9.4
Maximum17.5
Range13.6
Interquartile range (IQR)0.85

Descriptive statistics

Standard deviation0.6970001317
Coefficient of variation (CV)0.08349907107
Kurtosis7.022790756
Mean8.347399831
Median Absolute Deviation (MAD)0.4
Skewness0.7303607778
Sum138124.425
Variance0.4858091837
MonotonicityNot monotonic
2021-11-29T11:28:42.737240image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.3855
 
4.2%
8.2824
 
4.1%
8.5822
 
4.0%
8.4810
 
4.0%
8.1763
 
3.8%
8.6735
 
3.6%
8702
 
3.5%
8.7702
 
3.5%
8.8630
 
3.1%
7.9621
 
3.1%
Other values (177)9083
44.7%
(Missing)3789
18.6%
ValueCountFrequency (%)
3.91
 
< 0.1%
4.52
< 0.1%
4.72
< 0.1%
5.21
 
< 0.1%
5.33
< 0.1%
5.41
 
< 0.1%
5.51
 
< 0.1%
5.63
< 0.1%
5.71
 
< 0.1%
5.71
 
< 0.1%
ValueCountFrequency (%)
17.51
< 0.1%
15.71
< 0.1%
15.61
< 0.1%
15.41
< 0.1%
14.951
< 0.1%
14.51
< 0.1%
14.151
< 0.1%
13.951
< 0.1%
13.11
< 0.1%
131
< 0.1%

Chloride-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct930
Distinct (%)4.7%
Missing542
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean105.5217411
Minimum67.5
Maximum138.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:42.838924image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum67.5
5-th percentile97
Q1102.6666667
median106
Q3108.6666667
95-th percentile113.3333333
Maximum138.6
Range71.1
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.122767032
Coefficient of variation (CV)0.04854702904
Kurtosis1.836872713
Mean105.5217411
Median Absolute Deviation (MAD)3
Skewness-0.2649815802
Sum2088697.344
Variance26.24274206
MonotonicityNot monotonic
2021-11-29T11:28:42.934105image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107913
 
4.5%
106911
 
4.5%
105884
 
4.3%
108781
 
3.8%
103749
 
3.7%
104722
 
3.6%
109647
 
3.2%
102553
 
2.7%
110515
 
2.5%
101491
 
2.4%
Other values (920)12628
62.1%
(Missing)542
 
2.7%
ValueCountFrequency (%)
67.51
 
< 0.1%
731
 
< 0.1%
741
 
< 0.1%
75.555555561
 
< 0.1%
78.285714291
 
< 0.1%
79.666666671
 
< 0.1%
80.333333331
 
< 0.1%
813
< 0.1%
81.333333331
 
< 0.1%
821
 
< 0.1%
ValueCountFrequency (%)
138.61
< 0.1%
135.1251
< 0.1%
133.751
< 0.1%
1331
< 0.1%
132.83333331
< 0.1%
1321
< 0.1%
1312
< 0.1%
129.89473681
< 0.1%
1291
< 0.1%
128.52
< 0.1%

Chloride-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct115
Distinct (%)0.6%
Missing542
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean105.5525538
Minimum67.5
Maximum139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:43.035665image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum67.5
5-th percentile97
Q1102.5
median106
Q3109
95-th percentile113.5
Maximum139
Range71.5
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation5.188519711
Coefficient of variation (CV)0.04915579514
Kurtosis1.865026289
Mean105.5525538
Median Absolute Deviation (MAD)3
Skewness-0.2435998154
Sum2089307.25
Variance26.9207368
MonotonicityNot monotonic
2021-11-29T11:28:43.133111image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1061410
 
6.9%
1071373
 
6.8%
1051328
 
6.5%
1081212
 
6.0%
1041158
 
5.7%
1091080
 
5.3%
1031030
 
5.1%
110856
 
4.2%
102830
 
4.1%
101703
 
3.5%
Other values (105)8814
43.3%
ValueCountFrequency (%)
67.51
 
< 0.1%
701
 
< 0.1%
731
 
< 0.1%
741
 
< 0.1%
792
< 0.1%
801
 
< 0.1%
814
< 0.1%
822
< 0.1%
82.51
 
< 0.1%
834
< 0.1%
ValueCountFrequency (%)
1391
 
< 0.1%
1361
 
< 0.1%
1341
 
< 0.1%
1331
 
< 0.1%
132.51
 
< 0.1%
1313
< 0.1%
130.51
 
< 0.1%
1292
 
< 0.1%
128.51
 
< 0.1%
1286
< 0.1%

Creatinine-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1326
Distinct (%)6.7%
Missing461
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean1.298793482
Minimum0.1
Maximum27.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:43.319097image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.5
Q10.7
median0.9
Q31.24
95-th percentile3.925
Maximum27.4
Range27.3
Interquartile range (IQR)0.54

Descriptive statistics

Standard deviation1.417181747
Coefficient of variation (CV)1.091152494
Kurtosis29.28253775
Mean1.298793482
Median Absolute Deviation (MAD)0.25
Skewness4.486914185
Sum25813.52045
Variance2.008404104
MonotonicityNot monotonic
2021-11-29T11:28:43.408380image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.71301
 
6.4%
0.81268
 
6.2%
0.91206
 
5.9%
0.61144
 
5.6%
1893
 
4.4%
0.5722
 
3.6%
0.75568
 
2.8%
1.1531
 
2.6%
0.85431
 
2.1%
0.65429
 
2.1%
Other values (1316)11382
56.0%
(Missing)461
 
2.3%
ValueCountFrequency (%)
0.13
 
< 0.1%
0.11
 
< 0.1%
0.13333333333
 
< 0.1%
0.153
 
< 0.1%
0.16666666671
 
< 0.1%
0.23
 
< 0.1%
0.211
0.1%
0.23
 
< 0.1%
0.23333333332
 
< 0.1%
0.2511
0.1%
ValueCountFrequency (%)
27.41
< 0.1%
20.966666671
< 0.1%
18.21
< 0.1%
17.61
< 0.1%
17.31
< 0.1%
15.851
< 0.1%
15.71
< 0.1%
15.61
< 0.1%
15.516666671
< 0.1%
15.2751
< 0.1%

Creatinine-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct309
Distinct (%)1.6%
Missing461
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean1.296369811
Minimum0.1
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:43.503670image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.5
Q10.7
median0.9
Q31.2
95-th percentile3.9
Maximum28
Range27.9
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation1.412576324
Coefficient of variation (CV)1.089639941
Kurtosis28.50670414
Mean1.296369811
Median Absolute Deviation (MAD)0.25
Skewness4.437319699
Sum25765.35
Variance1.995371872
MonotonicityNot monotonic
2021-11-29T11:28:43.593299image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.72048
 
10.1%
0.81998
 
9.8%
0.91698
 
8.3%
0.61638
 
8.1%
11233
 
6.1%
0.51080
 
5.3%
1.1882
 
4.3%
0.75603
 
3.0%
1.2569
 
2.8%
0.85494
 
2.4%
Other values (299)7632
37.5%
ValueCountFrequency (%)
0.17
 
< 0.1%
0.153
 
< 0.1%
0.221
 
0.1%
0.2511
 
0.1%
0.398
 
0.5%
0.34
 
< 0.1%
0.3559
 
0.3%
0.4401
2.0%
0.454
 
< 0.1%
0.45157
 
0.8%
ValueCountFrequency (%)
281
< 0.1%
18.21
< 0.1%
17.61
< 0.1%
17.31
< 0.1%
15.851
< 0.1%
15.81
< 0.1%
15.71
< 0.1%
15.61
< 0.1%
14.751
< 0.1%
14.651
< 0.1%

Bilirubin_direct-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct201
Distinct (%)34.3%
Missing19750
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean2.642075183
Minimum0.1
Maximum37.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:43.691181image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.4
median1
Q32.9
95-th percentile10.6125
Maximum37.5
Range37.4
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation4.413299266
Coefficient of variation (CV)1.670391249
Kurtosis18.3851269
Mean2.642075183
Median Absolute Deviation (MAD)0.8
Skewness3.767365242
Sum1548.256057
Variance19.47721041
MonotonicityNot monotonic
2021-11-29T11:28:43.785401image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.252
 
0.3%
0.143
 
0.2%
0.438
 
0.2%
0.329
 
0.1%
0.624
 
0.1%
0.523
 
0.1%
0.816
 
0.1%
0.713
 
0.1%
1.113
 
0.1%
110
 
< 0.1%
Other values (191)325
 
1.6%
(Missing)19750
97.1%
ValueCountFrequency (%)
0.143
0.2%
0.16666666671
 
< 0.1%
0.252
0.3%
0.252
 
< 0.1%
0.329
0.1%
0.321
 
< 0.1%
0.354
 
< 0.1%
0.36666666671
 
< 0.1%
0.41
 
< 0.1%
0.438
0.2%
ValueCountFrequency (%)
37.51
< 0.1%
351
< 0.1%
301
< 0.1%
25.951
< 0.1%
22.21
< 0.1%
21.22
< 0.1%
211
< 0.1%
20.051
< 0.1%
19.81
< 0.1%
19.651
< 0.1%

Bilirubin_direct-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct147
Distinct (%)25.1%
Missing19750
Missing (%)97.1%
Infinite0
Infinite (%)0.0%
Mean2.631399317
Minimum0.1
Maximum37.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:43.885941image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.4
median1
Q32.9
95-th percentile9.8875
Maximum37.5
Range37.4
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation4.444859175
Coefficient of variation (CV)1.689161787
Kurtosis18.54377071
Mean2.631399317
Median Absolute Deviation (MAD)0.8
Skewness3.80559874
Sum1542
Variance19.75677308
MonotonicityNot monotonic
2021-11-29T11:28:43.980939image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.253
 
0.3%
0.143
 
0.2%
0.442
 
0.2%
0.331
 
0.2%
0.627
 
0.1%
0.524
 
0.1%
0.820
 
0.1%
0.715
 
0.1%
0.914
 
0.1%
1.613
 
0.1%
Other values (137)304
 
1.5%
(Missing)19750
97.1%
ValueCountFrequency (%)
0.143
0.2%
0.253
0.3%
0.252
 
< 0.1%
0.331
0.2%
0.355
 
< 0.1%
0.442
0.2%
0.453
 
< 0.1%
0.524
0.1%
0.553
 
< 0.1%
0.627
0.1%
ValueCountFrequency (%)
37.51
< 0.1%
351
< 0.1%
301
< 0.1%
25.951
< 0.1%
25.21
< 0.1%
22.21
< 0.1%
21.651
< 0.1%
21.21
< 0.1%
211
< 0.1%
19.81
< 0.1%

Glucose-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct4538
Distinct (%)22.8%
Missing407
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean132.6371371
Minimum19
Maximum693.1333333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:44.080125image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile88
Q1109.625
median125
Q3146
95-th percentile202.9
Maximum693.1333333
Range674.1333333
Interquartile range (IQR)36.375

Descriptive statistics

Standard deviation39.28551348
Coefficient of variation (CV)0.2961878878
Kurtosis15.36827196
Mean132.6371371
Median Absolute Deviation (MAD)17.66666667
Skewness2.596670717
Sum2643325.505
Variance1543.351569
MonotonicityNot monotonic
2021-11-29T11:28:44.173351image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105135
 
0.7%
112125
 
0.6%
120121
 
0.6%
121118
 
0.6%
108118
 
0.6%
124118
 
0.6%
122117
 
0.6%
119117
 
0.6%
114116
 
0.6%
110113
 
0.6%
Other values (4528)18731
92.1%
(Missing)407
 
2.0%
ValueCountFrequency (%)
191
 
< 0.1%
311
 
< 0.1%
382
< 0.1%
401
 
< 0.1%
411
 
< 0.1%
422
< 0.1%
461
 
< 0.1%
472
< 0.1%
481
 
< 0.1%
513
< 0.1%
ValueCountFrequency (%)
693.13333331
< 0.1%
671.51
< 0.1%
6661
< 0.1%
5631
< 0.1%
521.33333331
< 0.1%
509.251
< 0.1%
5011
< 0.1%
499.33333331
< 0.1%
4721
< 0.1%
4631
< 0.1%

Glucose-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct702
Distinct (%)3.5%
Missing407
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean130.3958929
Minimum19
Maximum755
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:44.273641image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile87
Q1107.5
median123
Q3143.5
95-th percentile199
Maximum755
Range736
Interquartile range (IQR)36

Descriptive statistics

Standard deviation38.94551034
Coefficient of variation (CV)0.2986712961
Kurtosis17.93101417
Mean130.3958929
Median Absolute Deviation (MAD)17.5
Skewness2.760072682
Sum2598659.75
Variance1516.752776
MonotonicityNot monotonic
2021-11-29T11:28:44.368170image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
119276
 
1.4%
118270
 
1.3%
121265
 
1.3%
109261
 
1.3%
112249
 
1.2%
114245
 
1.2%
116241
 
1.2%
127236
 
1.2%
120235
 
1.2%
123234
 
1.2%
Other values (692)17417
85.6%
(Missing)407
 
2.0%
ValueCountFrequency (%)
191
< 0.1%
311
< 0.1%
382
< 0.1%
401
< 0.1%
411
< 0.1%
422
< 0.1%
462
< 0.1%
472
< 0.1%
481
< 0.1%
491
< 0.1%
ValueCountFrequency (%)
7551
< 0.1%
671.51
< 0.1%
6661
< 0.1%
5631
< 0.1%
5421
< 0.1%
5311
< 0.1%
522.51
< 0.1%
5011
< 0.1%
482.51
< 0.1%
4721
< 0.1%

Lactate-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1364
Distinct (%)17.6%
Missing12603
Missing (%)62.0%
Infinite0
Infinite (%)0.0%
Mean2.093051854
Minimum0.3
Maximum26.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:44.468623image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.8
Q11.2
median1.666666667
Q32.4
95-th percentile4.614
Maximum26.95
Range26.65
Interquartile range (IQR)1.2

Descriptive statistics

Standard deviation1.703575579
Coefficient of variation (CV)0.8139194333
Kurtosis35.54188518
Mean2.093051854
Median Absolute Deviation (MAD)0.5333333333
Skewness4.752367759
Sum16185.56998
Variance2.902169752
MonotonicityNot monotonic
2021-11-29T11:28:44.565926image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1297
 
1.5%
1.2290
 
1.4%
1.3282
 
1.4%
1.4258
 
1.3%
0.9249
 
1.2%
1.1242
 
1.2%
1.5240
 
1.2%
1.6222
 
1.1%
1.7189
 
0.9%
1.8184
 
0.9%
Other values (1354)5280
26.0%
(Missing)12603
62.0%
ValueCountFrequency (%)
0.32
 
< 0.1%
0.3251
 
< 0.1%
0.371
 
< 0.1%
0.44
 
< 0.1%
0.519
 
0.1%
0.557
 
< 0.1%
0.56666666672
 
< 0.1%
0.5751
 
< 0.1%
0.652
0.3%
0.63
 
< 0.1%
ValueCountFrequency (%)
26.951
< 0.1%
25.051
< 0.1%
21.788888891
< 0.1%
191
< 0.1%
18.72
< 0.1%
18.6251
< 0.1%
17.81
< 0.1%
17.51
< 0.1%
17.1251
< 0.1%
16.806666671
< 0.1%

Lactate-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct346
Distinct (%)4.5%
Missing12603
Missing (%)62.0%
Infinite0
Infinite (%)0.0%
Mean2.049350834
Minimum0.3
Maximum26.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:44.661938image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.8
Q11.2
median1.6
Q32.3
95-th percentile4.5
Maximum26.95
Range26.65
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation1.693545629
Coefficient of variation (CV)0.8263815063
Kurtosis37.86768288
Mean2.049350834
Median Absolute Deviation (MAD)0.5
Skewness4.906191223
Sum15847.63
Variance2.868096798
MonotonicityNot monotonic
2021-11-29T11:28:44.843611image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1395
 
1.9%
1.2385
 
1.9%
1.4371
 
1.8%
1.3366
 
1.8%
1.1357
 
1.8%
0.9327
 
1.6%
1.5321
 
1.6%
1.6312
 
1.5%
1.7268
 
1.3%
1.8259
 
1.3%
Other values (336)4372
 
21.5%
(Missing)12603
62.0%
ValueCountFrequency (%)
0.33
 
< 0.1%
0.371
 
< 0.1%
0.44
 
< 0.1%
0.520
 
0.1%
0.558
 
< 0.1%
0.665
0.3%
0.63
 
< 0.1%
0.6511
 
0.1%
0.655
 
< 0.1%
0.7131
0.6%
ValueCountFrequency (%)
26.951
< 0.1%
24.851
< 0.1%
22.31
< 0.1%
19.91
< 0.1%
19.31
< 0.1%
192
< 0.1%
18.21
< 0.1%
17.81
< 0.1%
17.51
< 0.1%
17.1251
< 0.1%

Magnesium-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct739
Distinct (%)3.9%
Missing1388
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean2.018570403
Minimum0.8
Maximum8.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:44.939086image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile1.6
Q11.8
median2
Q32.175
95-th percentile2.55
Maximum8.2
Range7.4
Interquartile range (IQR)0.375

Descriptive statistics

Standard deviation0.3182137285
Coefficient of variation (CV)0.1576431161
Kurtosis19.34391377
Mean2.018570403
Median Absolute Deviation (MAD)0.18
Skewness1.922416785
Sum38247.872
Variance0.101259977
MonotonicityNot monotonic
2021-11-29T11:28:45.036789image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21491
 
7.3%
1.91247
 
6.1%
2.11147
 
5.6%
1.81081
 
5.3%
2.2797
 
3.9%
1.7773
 
3.8%
2.3531
 
2.6%
1.85480
 
2.4%
1.6475
 
2.3%
2.05472
 
2.3%
Other values (729)10454
51.4%
(Missing)1388
 
6.8%
ValueCountFrequency (%)
0.81
 
< 0.1%
0.92
 
< 0.1%
18
 
< 0.1%
1.052
 
< 0.1%
1.0666666671
 
< 0.1%
1.111
 
0.1%
1.151
 
< 0.1%
1.1666666671
 
< 0.1%
1.228
0.1%
1.22
 
< 0.1%
ValueCountFrequency (%)
8.21
< 0.1%
6.81
< 0.1%
6.6751
< 0.1%
6.51
< 0.1%
6.21
< 0.1%
4.7751
< 0.1%
4.51
< 0.1%
4.22
< 0.1%
4.121
< 0.1%
4.12
< 0.1%

Magnesium-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct101
Distinct (%)0.5%
Missing1388
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean2.014033407
Minimum0.8
Maximum8.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:45.140274image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.8
5-th percentile1.6
Q11.8
median2
Q32.2
95-th percentile2.55
Maximum8.2
Range7.4
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.3214007491
Coefficient of variation (CV)0.1595806445
Kurtosis18.47951537
Mean2.014033407
Median Absolute Deviation (MAD)0.2
Skewness1.820237523
Sum38161.905
Variance0.1032984415
MonotonicityNot monotonic
2021-11-29T11:28:45.235277image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22332
11.5%
1.92190
 
10.8%
2.11800
 
8.9%
1.81626
 
8.0%
2.21414
 
7.0%
1.71114
 
5.5%
2.3975
 
4.8%
1.6764
 
3.8%
1.85606
 
3.0%
2.4588
 
2.9%
Other values (91)5539
27.2%
(Missing)1388
 
6.8%
ValueCountFrequency (%)
0.82
 
< 0.1%
0.92
 
< 0.1%
110
 
< 0.1%
1.051
 
< 0.1%
1.114
 
0.1%
1.151
 
< 0.1%
1.236
0.2%
1.22
 
< 0.1%
1.259
 
< 0.1%
1.32
 
< 0.1%
ValueCountFrequency (%)
8.21
< 0.1%
6.91
< 0.1%
6.61
< 0.1%
6.51
< 0.1%
6.21
< 0.1%
4.71
< 0.1%
4.51
< 0.1%
4.41
< 0.1%
4.22
< 0.1%
4.12
< 0.1%

Phosphate-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1262
Distinct (%)7.6%
Missing3650
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean3.557916442
Minimum0.45
Maximum14.46666667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:45.335124image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.45
5-th percentile2.1
Q12.8
median3.35
Q34.05
95-th percentile5.7
Maximum14.46666667
Range14.01666667
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.19359207
Coefficient of variation (CV)0.3354750144
Kurtosis6.687354431
Mean3.557916442
Median Absolute Deviation (MAD)0.6
Skewness1.789741422
Sum59367.39375
Variance1.424662029
MonotonicityNot monotonic
2021-11-29T11:28:45.427819image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.5443
 
2.2%
3432
 
2.1%
3.1425
 
2.1%
3.3417
 
2.1%
3.2411
 
2.0%
3.4401
 
2.0%
2.8370
 
1.8%
3.6362
 
1.8%
2.9362
 
1.8%
3.7355
 
1.7%
Other values (1252)12708
62.5%
(Missing)3650
 
17.9%
ValueCountFrequency (%)
0.451
 
< 0.1%
0.71
 
< 0.1%
0.82
 
< 0.1%
0.93
< 0.1%
0.91428571431
 
< 0.1%
0.952
 
< 0.1%
0.9751
 
< 0.1%
15
< 0.1%
1.061
 
< 0.1%
1.11
 
< 0.1%
ValueCountFrequency (%)
14.466666671
< 0.1%
14.451
< 0.1%
13.3751
< 0.1%
13.31
< 0.1%
13.216666671
< 0.1%
131
< 0.1%
12.91
< 0.1%
12.41
< 0.1%
12.11
< 0.1%
11.966666671
< 0.1%

Phosphate-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct277
Distinct (%)1.7%
Missing3650
Missing (%)17.9%
Infinite0
Infinite (%)0.0%
Mean3.549626933
Minimum0.45
Maximum14.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:45.526308image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.45
5-th percentile2
Q12.8
median3.35
Q34.05
95-th percentile5.7
Maximum14.7
Range14.25
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.208313267
Coefficient of variation (CV)0.3404057073
Kurtosis6.749329766
Mean3.549626933
Median Absolute Deviation (MAD)0.65
Skewness1.772552306
Sum59229.075
Variance1.46002095
MonotonicityNot monotonic
2021-11-29T11:28:45.620767image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.2597
 
2.9%
3586
 
2.9%
3.3577
 
2.8%
3.5559
 
2.7%
3.1546
 
2.7%
2.8531
 
2.6%
3.4520
 
2.6%
3.7487
 
2.4%
2.9481
 
2.4%
2.7473
 
2.3%
Other values (267)11329
55.7%
(Missing)3650
 
17.9%
ValueCountFrequency (%)
0.451
 
< 0.1%
0.52
 
< 0.1%
0.61
 
< 0.1%
0.71
 
< 0.1%
0.82
 
< 0.1%
0.852
 
< 0.1%
0.97
< 0.1%
0.951
 
< 0.1%
17
< 0.1%
1.052
 
< 0.1%
ValueCountFrequency (%)
14.71
< 0.1%
14.351
< 0.1%
13.651
< 0.1%
13.31
< 0.1%
13.051
< 0.1%
131
< 0.1%
12.91
< 0.1%
12.651
< 0.1%
12.61
< 0.1%
12.51
< 0.1%

Potassium-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1565
Distinct (%)7.9%
Missing433
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean4.135700082
Minimum2.2
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:45.719791image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2.2
5-th percentile3.45
Q13.806904762
median4.1
Q34.4
95-th percentile5
Maximum9
Range6.8
Interquartile range (IQR)0.5930952381

Descriptive statistics

Standard deviation0.4834578783
Coefficient of variation (CV)0.1168986795
Kurtosis2.579263651
Mean4.135700082
Median Absolute Deviation (MAD)0.3
Skewness0.8839187897
Sum82312.83873
Variance0.2337315201
MonotonicityNot monotonic
2021-11-29T11:28:45.815109image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4839
 
4.1%
3.9723
 
3.6%
4.1616
 
3.0%
4.2614
 
3.0%
3.8555
 
2.7%
4.3533
 
2.6%
3.7441
 
2.2%
4.5404
 
2.0%
4.4403
 
2.0%
3.6388
 
1.9%
Other values (1555)14387
70.7%
(Missing)433
 
2.1%
ValueCountFrequency (%)
2.21
 
< 0.1%
2.51
 
< 0.1%
2.651
 
< 0.1%
2.6666666671
 
< 0.1%
2.73
< 0.1%
2.721
 
< 0.1%
2.753
< 0.1%
2.87
< 0.1%
2.821
 
< 0.1%
2.851
 
< 0.1%
ValueCountFrequency (%)
91
< 0.1%
8.461
< 0.1%
7.11
< 0.1%
6.981
< 0.1%
6.91
< 0.1%
6.851
< 0.1%
6.81
< 0.1%
6.81
< 0.1%
6.7751
< 0.1%
6.751
< 0.1%

Potassium-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct144
Distinct (%)0.7%
Missing433
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean4.123865749
Minimum2.2
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:45.916147image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2.2
5-th percentile3.4
Q13.8
median4.1
Q34.4
95-th percentile5
Maximum9
Range6.8
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.486336847
Coefficient of variation (CV)0.1179322695
Kurtosis2.429622932
Mean4.123865749
Median Absolute Deviation (MAD)0.3
Skewness0.8499025233
Sum82077.3
Variance0.2365235288
MonotonicityNot monotonic
2021-11-29T11:28:46.012660image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41552
 
7.6%
4.11396
 
6.9%
3.91342
 
6.6%
3.81276
 
6.3%
4.21237
 
6.1%
4.31074
 
5.3%
3.71005
 
4.9%
4.4943
 
4.6%
4.5754
 
3.7%
3.6686
 
3.4%
Other values (134)8638
42.5%
ValueCountFrequency (%)
2.21
 
< 0.1%
2.52
 
< 0.1%
2.62
 
< 0.1%
2.651
 
< 0.1%
2.75
 
< 0.1%
2.752
 
< 0.1%
2.815
0.1%
2.852
 
< 0.1%
2.913
0.1%
2.93
 
< 0.1%
ValueCountFrequency (%)
91
 
< 0.1%
7.31
 
< 0.1%
7.12
< 0.1%
6.93
< 0.1%
6.82
< 0.1%
6.82
< 0.1%
6.72
< 0.1%
6.63
< 0.1%
6.552
< 0.1%
6.53
< 0.1%

Bilirubin_total-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct662
Distinct (%)11.5%
Missing14566
Missing (%)71.6%
Infinite0
Infinite (%)0.0%
Mean1.760810069
Minimum0.1
Maximum45.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:46.113030image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.2
Q10.4
median0.7
Q31.366666667
95-th percentile6.571
Maximum45.9
Range45.8
Interquartile range (IQR)0.9666666667

Descriptive statistics

Standard deviation3.840258073
Coefficient of variation (CV)2.180960992
Kurtosis44.17062061
Mean1.760810069
Median Absolute Deviation (MAD)0.35
Skewness5.964460236
Sum10159.8741
Variance14.74758207
MonotonicityNot monotonic
2021-11-29T11:28:46.210217image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3496
 
2.4%
0.5487
 
2.4%
0.4477
 
2.3%
0.6390
 
1.9%
0.7352
 
1.7%
0.2308
 
1.5%
0.8286
 
1.4%
0.9224
 
1.1%
1175
 
0.9%
1.1122
 
0.6%
Other values (652)2453
 
12.1%
(Missing)14566
71.6%
ValueCountFrequency (%)
0.159
 
0.3%
0.1251
 
< 0.1%
0.13333333334
 
< 0.1%
0.1511
 
0.1%
0.16666666672
 
< 0.1%
0.21
 
< 0.1%
0.2308
1.5%
0.22
 
< 0.1%
0.221
 
< 0.1%
0.2251
 
< 0.1%
ValueCountFrequency (%)
45.91
< 0.1%
45.751
< 0.1%
44.966666671
< 0.1%
44.11
< 0.1%
43.21
< 0.1%
42.351
< 0.1%
40.751
< 0.1%
40.151
< 0.1%
40.033333331
< 0.1%
36.31
< 0.1%

Bilirubin_total-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct360
Distinct (%)6.2%
Missing14566
Missing (%)71.6%
Infinite0
Infinite (%)0.0%
Mean1.752551993
Minimum0.1
Maximum45.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:46.392829image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.2
Q10.4
median0.7
Q31.35
95-th percentile6.5
Maximum45.9
Range45.8
Interquartile range (IQR)0.95

Descriptive statistics

Standard deviation3.848280915
Coefficient of variation (CV)2.195815548
Kurtosis44.52482792
Mean1.752551993
Median Absolute Deviation (MAD)0.35
Skewness5.996750738
Sum10112.225
Variance14.809266
MonotonicityNot monotonic
2021-11-29T11:28:46.490806image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3522
 
2.6%
0.4520
 
2.6%
0.5509
 
2.5%
0.6420
 
2.1%
0.7381
 
1.9%
0.2322
 
1.6%
0.8307
 
1.5%
0.9239
 
1.2%
1189
 
0.9%
1.1142
 
0.7%
Other values (350)2219
 
10.9%
(Missing)14566
71.6%
ValueCountFrequency (%)
0.165
 
0.3%
0.1511
 
0.1%
0.2322
1.6%
0.2543
 
0.2%
0.3522
2.6%
0.38
 
< 0.1%
0.3547
 
0.2%
0.4520
2.6%
0.457
 
< 0.1%
0.4558
 
0.3%
ValueCountFrequency (%)
45.91
< 0.1%
45.751
< 0.1%
44.91
< 0.1%
44.11
< 0.1%
43.21
< 0.1%
42.351
< 0.1%
40.751
< 0.1%
40.151
< 0.1%
39.61
< 0.1%
391
< 0.1%

TroponinI-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct305
Distinct (%)62.4%
Missing19847
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean8.906701104
Minimum0.3
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:46.589054image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.3566666667
Q10.8
median3.55
Q312.5
95-th percentile35.84
Maximum48
Range47.7
Interquartile range (IQR)11.7

Descriptive statistics

Standard deviation11.37407288
Coefficient of variation (CV)1.277024203
Kurtosis1.640371742
Mean8.906701104
Median Absolute Deviation (MAD)3.05
Skewness1.58091301
Sum4355.37684
Variance129.3695339
MonotonicityNot monotonic
2021-11-29T11:28:46.690223image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.524
 
0.1%
0.322
 
0.1%
0.420
 
0.1%
0.817
 
0.1%
0.612
 
0.1%
0.711
 
0.1%
19
 
< 0.1%
1.16
 
< 0.1%
1.156
 
< 0.1%
0.95
 
< 0.1%
Other values (295)357
 
1.8%
(Missing)19847
97.6%
ValueCountFrequency (%)
0.322
0.1%
0.353
 
< 0.1%
0.36666666671
 
< 0.1%
0.420
0.1%
0.4251
 
< 0.1%
0.451
 
< 0.1%
0.452
 
< 0.1%
0.46666666672
 
< 0.1%
0.524
0.1%
0.53333333332
 
< 0.1%
ValueCountFrequency (%)
481
< 0.1%
46.51
< 0.1%
461
< 0.1%
452
< 0.1%
44.81
< 0.1%
44.21
< 0.1%
42.91
< 0.1%
421
< 0.1%
41.51
< 0.1%
411
< 0.1%

TroponinI-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct254
Distinct (%)51.9%
Missing19847
Missing (%)97.6%
Infinite0
Infinite (%)0.0%
Mean8.897239264
Minimum0.3
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:46.788046image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.35
Q10.8
median3.4
Q312.7
95-th percentile36.54
Maximum48
Range47.7
Interquartile range (IQR)11.9

Descriptive statistics

Standard deviation11.46288056
Coefficient of variation (CV)1.288363752
Kurtosis1.758906915
Mean8.897239264
Median Absolute Deviation (MAD)2.95
Skewness1.606216678
Sum4350.75
Variance131.3976307
MonotonicityNot monotonic
2021-11-29T11:28:46.888252image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.525
 
0.1%
0.423
 
0.1%
0.323
 
0.1%
0.821
 
0.1%
0.613
 
0.1%
0.712
 
0.1%
18
 
< 0.1%
1.27
 
< 0.1%
0.97
 
< 0.1%
1.156
 
< 0.1%
Other values (244)344
 
1.7%
(Missing)19847
97.6%
ValueCountFrequency (%)
0.323
0.1%
0.353
 
< 0.1%
0.423
0.1%
0.451
 
< 0.1%
0.453
 
< 0.1%
0.525
0.1%
0.552
 
< 0.1%
0.613
0.1%
0.651
 
< 0.1%
0.712
0.1%
ValueCountFrequency (%)
481
< 0.1%
47.51
< 0.1%
46.51
< 0.1%
461
< 0.1%
452
< 0.1%
44.81
< 0.1%
44.21
< 0.1%
42.91
< 0.1%
42.51
< 0.1%
42.21
< 0.1%

Hct-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct5008
Distinct (%)25.1%
Missing364
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean31.63387892
Minimum10.25
Maximum68.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:46.985070image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10.25
5-th percentile25.20423077
Q128.35
median31
Q334.46666667
95-th percentile40.1
Maximum68.04
Range57.79
Interquartile range (IQR)6.116666667

Descriptive statistics

Standard deviation4.612103956
Coefficient of variation (CV)0.145796346
Kurtosis0.9954907795
Mean31.63387892
Median Absolute Deviation (MAD)2.966666667
Skewness0.6914464824
Sum631791.8298
Variance21.2715029
MonotonicityNot monotonic
2021-11-29T11:28:47.075941image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.572
 
0.4%
31.572
 
0.4%
3571
 
0.3%
3071
 
0.3%
3169
 
0.3%
2968
 
0.3%
30.566
 
0.3%
32.165
 
0.3%
33.463
 
0.3%
32.562
 
0.3%
Other values (4998)19293
94.9%
(Missing)364
 
1.8%
ValueCountFrequency (%)
10.251
< 0.1%
11.861
< 0.1%
14.833333331
< 0.1%
16.11
< 0.1%
16.81
< 0.1%
17.466666671
< 0.1%
18.251
< 0.1%
18.366666671
< 0.1%
18.41
< 0.1%
18.51
< 0.1%
ValueCountFrequency (%)
68.041
< 0.1%
62.451
< 0.1%
61.71
< 0.1%
61.051
< 0.1%
581
< 0.1%
56.38751
< 0.1%
56.11
< 0.1%
55.851
< 0.1%
55.533333331
< 0.1%
54.751
< 0.1%

Hct-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct841
Distinct (%)4.2%
Missing364
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean31.65418962
Minimum10.15
Maximum66.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:47.173089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10.15
5-th percentile25.1
Q128.35
median31
Q334.5
95-th percentile40.1
Maximum66.4
Range56.25
Interquartile range (IQR)6.15

Descriptive statistics

Standard deviation4.638895848
Coefficient of variation (CV)0.14654919
Kurtosis0.9451377878
Mean31.65418962
Median Absolute Deviation (MAD)3
Skewness0.6595302332
Sum632197.475
Variance21.51935469
MonotonicityNot monotonic
2021-11-29T11:28:47.262646image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29218
 
1.1%
31194
 
1.0%
30191
 
0.9%
32180
 
0.9%
30.5164
 
0.8%
28164
 
0.8%
31.1158
 
0.8%
27155
 
0.8%
28.1154
 
0.8%
31.5150
 
0.7%
Other values (831)18244
89.7%
(Missing)364
 
1.8%
ValueCountFrequency (%)
10.151
< 0.1%
121
< 0.1%
14.41
< 0.1%
14.551
< 0.1%
16.81
< 0.1%
16.91
< 0.1%
17.751
< 0.1%
18.251
< 0.1%
18.31
< 0.1%
18.41
< 0.1%
ValueCountFrequency (%)
66.41
< 0.1%
62.451
< 0.1%
61.71
< 0.1%
61.051
< 0.1%
58.21
< 0.1%
56.11
< 0.1%
55.851
< 0.1%
55.32
< 0.1%
54.751
< 0.1%
54.51
< 0.1%

Hgb-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2355
Distinct (%)11.9%
Missing507
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean10.75987035
Minimum3.325
Maximum20.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:47.359383image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3.325
5-th percentile8.4
Q19.6
median10.55
Q311.75
95-th percentile13.8
Maximum20.96
Range17.635
Interquartile range (IQR)2.15

Descriptive statistics

Standard deviation1.637669715
Coefficient of variation (CV)0.1522016215
Kurtosis0.5062771099
Mean10.75987035
Median Absolute Deviation (MAD)1.05
Skewness0.5812765727
Sum213357.4692
Variance2.681962094
MonotonicityNot monotonic
2021-11-29T11:28:47.457102image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.5247
 
1.2%
10225
 
1.1%
10.6204
 
1.0%
9.6199
 
1.0%
10.9199
 
1.0%
10.3196
 
1.0%
9.5195
 
1.0%
9.8194
 
1.0%
9.9193
 
0.9%
11.1191
 
0.9%
Other values (2345)17786
87.5%
(Missing)507
 
2.5%
ValueCountFrequency (%)
3.3251
< 0.1%
4.1751
< 0.1%
5.42
< 0.1%
5.61
< 0.1%
5.91
< 0.1%
61
< 0.1%
6.0251
< 0.1%
6.051
< 0.1%
6.151
< 0.1%
6.21
< 0.1%
ValueCountFrequency (%)
20.961
< 0.1%
19.81
< 0.1%
19.32
< 0.1%
18.81
< 0.1%
18.61
< 0.1%
18.451
< 0.1%
18.051
< 0.1%
17.951
< 0.1%
17.61
< 0.1%
17.51
< 0.1%

Hgb-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct393
Distinct (%)2.0%
Missing507
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean10.76507539
Minimum3.3
Maximum20.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:47.561876image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile8.4
Q19.6
median10.6
Q311.75
95-th percentile13.8
Maximum20.3
Range17
Interquartile range (IQR)2.15

Descriptive statistics

Standard deviation1.649797292
Coefficient of variation (CV)0.1532545971
Kurtosis0.4726858849
Mean10.76507539
Median Absolute Deviation (MAD)1.05
Skewness0.5523234009
Sum213460.68
Variance2.721831106
MonotonicityNot monotonic
2021-11-29T11:28:47.659179image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.5418
 
2.1%
10412
 
2.0%
10.2401
 
2.0%
10.3399
 
2.0%
9.8388
 
1.9%
9.7380
 
1.9%
10.8372
 
1.8%
10.1365
 
1.8%
10.7360
 
1.8%
10.6354
 
1.7%
Other values (383)15980
78.6%
(Missing)507
 
2.5%
ValueCountFrequency (%)
3.31
< 0.1%
4.151
< 0.1%
5.42
< 0.1%
5.61
< 0.1%
5.81
< 0.1%
61
< 0.1%
6.0251
< 0.1%
6.051
< 0.1%
6.12
< 0.1%
6.1751
< 0.1%
ValueCountFrequency (%)
20.31
< 0.1%
19.81
< 0.1%
19.32
< 0.1%
18.62
< 0.1%
18.451
< 0.1%
18.051
< 0.1%
17.951
< 0.1%
17.71
< 0.1%
17.62
< 0.1%
17.451
< 0.1%

PTT-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct4027
Distinct (%)25.4%
Missing4496
Missing (%)22.1%
Infinite0
Infinite (%)0.0%
Mean36.56864135
Minimum17.1
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:47.762349image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum17.1
5-th percentile23.1
Q127.1
median31.15
Q338.6
95-th percentile72.55166667
Maximum150
Range132.9
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation16.72308365
Coefficient of variation (CV)0.4573066714
Kurtosis9.733848023
Mean36.56864135
Median Absolute Deviation (MAD)5
Skewness2.74209416
Sum579247.279
Variance279.6615269
MonotonicityNot monotonic
2021-11-29T11:28:47.948674image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.583
 
0.4%
27.683
 
0.4%
2779
 
0.4%
2878
 
0.4%
29.377
 
0.4%
28.176
 
0.4%
27.775
 
0.4%
28.674
 
0.4%
29.573
 
0.4%
28.372
 
0.4%
Other values (4017)15070
74.1%
(Missing)4496
 
22.1%
ValueCountFrequency (%)
17.11
< 0.1%
17.21
< 0.1%
17.31
< 0.1%
17.651
< 0.1%
18.11
< 0.1%
18.251
< 0.1%
18.42
< 0.1%
18.451
< 0.1%
18.52
< 0.1%
18.62
< 0.1%
ValueCountFrequency (%)
15034
0.2%
145.91
 
< 0.1%
145.451
 
< 0.1%
143.71
 
< 0.1%
142.11
 
< 0.1%
140.61
 
< 0.1%
1391
 
< 0.1%
137.81
 
< 0.1%
137.31
 
< 0.1%
137.151
 
< 0.1%

PTT-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1709
Distinct (%)10.8%
Missing4496
Missing (%)22.1%
Infinite0
Infinite (%)0.0%
Mean35.82851452
Minimum16.9
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:48.046624image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum16.9
5-th percentile23.1
Q127
median30.9
Q337.6
95-th percentile68.2
Maximum150
Range133.1
Interquartile range (IQR)10.6

Descriptive statistics

Standard deviation16.43467255
Coefficient of variation (CV)0.4587037104
Kurtosis13.90541029
Mean35.82851452
Median Absolute Deviation (MAD)4.7
Skewness3.226363629
Sum567523.67
Variance270.0984618
MonotonicityNot monotonic
2021-11-29T11:28:48.148749image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.7100
 
0.5%
27.6100
 
0.5%
26.597
 
0.5%
28.196
 
0.5%
28.696
 
0.5%
2895
 
0.5%
29.393
 
0.5%
29.592
 
0.5%
28.991
 
0.4%
26.491
 
0.4%
Other values (1699)14889
73.2%
(Missing)4496
 
22.1%
ValueCountFrequency (%)
16.91
< 0.1%
17.11
< 0.1%
17.21
< 0.1%
17.31
< 0.1%
17.651
< 0.1%
18.11
< 0.1%
18.251
< 0.1%
18.42
< 0.1%
18.451
< 0.1%
18.52
< 0.1%
ValueCountFrequency (%)
15052
0.3%
148.41
 
< 0.1%
147.61
 
< 0.1%
1472
 
< 0.1%
145.91
 
< 0.1%
145.51
 
< 0.1%
144.21
 
< 0.1%
144.11
 
< 0.1%
143.71
 
< 0.1%
142.11
 
< 0.1%

WBC-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct3287
Distinct (%)16.7%
Missing625
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean11.76131034
Minimum0.1
Maximum305.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:48.249658image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile5.05
Q18.25
median10.875
Q314
95-th percentile20.6
Maximum305.75
Range305.65
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation6.61279845
Coefficient of variation (CV)0.5622501453
Kurtosis302.681305
Mean11.76131034
Median Absolute Deviation (MAD)2.85
Skewness10.36808671
Sum231827.1882
Variance43.72910335
MonotonicityNot monotonic
2021-11-29T11:28:48.344703image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.9107
 
0.5%
10106
 
0.5%
9.5106
 
0.5%
10.2101
 
0.5%
10.3101
 
0.5%
9100
 
0.5%
8.6100
 
0.5%
899
 
0.5%
8.498
 
0.5%
9.197
 
0.5%
Other values (3277)18696
91.9%
(Missing)625
 
3.1%
ValueCountFrequency (%)
0.14
< 0.1%
0.12
 
< 0.1%
0.151
 
< 0.1%
0.151
 
< 0.1%
0.16666666671
 
< 0.1%
0.28
< 0.1%
0.21
 
< 0.1%
0.23333333331
 
< 0.1%
0.251
 
< 0.1%
0.32
 
< 0.1%
ValueCountFrequency (%)
305.751
< 0.1%
203.16666671
< 0.1%
168.61
< 0.1%
151.76666671
< 0.1%
147.17142861
< 0.1%
134.2251
< 0.1%
126.21
< 0.1%
120.51
< 0.1%
119.91
< 0.1%
116.51
< 0.1%

WBC-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct984
Distinct (%)5.0%
Missing625
Missing (%)3.1%
Infinite0
Infinite (%)0.0%
Mean11.69814266
Minimum0.1
Maximum319.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:48.444205image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile5
Q18.2
median10.8
Q313.95
95-th percentile20.6
Maximum319.25
Range319.15
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation6.675437823
Coefficient of variation (CV)0.5706408287
Kurtosis334.9965445
Mean11.69814266
Median Absolute Deviation (MAD)2.85
Skewness10.89622191
Sum230582.09
Variance44.56147013
MonotonicityNot monotonic
2021-11-29T11:28:48.537614image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.3181
 
0.9%
9.8161
 
0.8%
10.2159
 
0.8%
9159
 
0.8%
10157
 
0.8%
11.2155
 
0.8%
10.7154
 
0.8%
9.2151
 
0.7%
8.5149
 
0.7%
9.7147
 
0.7%
Other values (974)18138
89.2%
(Missing)625
 
3.1%
ValueCountFrequency (%)
0.17
< 0.1%
0.151
 
< 0.1%
0.211
0.1%
0.251
 
< 0.1%
0.32
 
< 0.1%
0.44
 
< 0.1%
0.452
 
< 0.1%
0.52
 
< 0.1%
0.551
 
< 0.1%
0.63
 
< 0.1%
ValueCountFrequency (%)
319.251
< 0.1%
206.31
< 0.1%
168.61
< 0.1%
160.61
< 0.1%
150.41
< 0.1%
135.41
< 0.1%
126.21
< 0.1%
120.51
< 0.1%
119.91
< 0.1%
116.51
< 0.1%

Fibrinogen-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1108
Distinct (%)43.2%
Missing17769
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean311.7025739
Minimum52.5
Maximum1383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:48.636249image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum52.5
5-th percentile125.8833333
Q1193.3166667
median264
Q3386.5
95-th percentile654.85
Maximum1383
Range1330.5
Interquartile range (IQR)193.1833333

Descriptive statistics

Standard deviation167.4443938
Coefficient of variation (CV)0.5371928493
Kurtosis2.662096449
Mean311.7025739
Median Absolute Deviation (MAD)85
Skewness1.44842109
Sum800140.5073
Variance28037.62502
MonotonicityNot monotonic
2021-11-29T11:28:48.738376image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21414
 
0.1%
22212
 
0.1%
15112
 
0.1%
23912
 
0.1%
18512
 
0.1%
21712
 
0.1%
20211
 
0.1%
16311
 
0.1%
21611
 
0.1%
24811
 
0.1%
Other values (1098)2449
 
12.0%
(Missing)17769
87.4%
ValueCountFrequency (%)
52.51
< 0.1%
581
< 0.1%
631
< 0.1%
64.916666671
< 0.1%
651
< 0.1%
75.3751
< 0.1%
75.751
< 0.1%
762
< 0.1%
79.666666671
< 0.1%
80.751
< 0.1%
ValueCountFrequency (%)
13831
< 0.1%
12461
< 0.1%
12111
< 0.1%
11611
< 0.1%
10301
< 0.1%
10001
< 0.1%
9761
< 0.1%
9601
< 0.1%
9561
< 0.1%
9461
< 0.1%

Fibrinogen-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct819
Distinct (%)31.9%
Missing17769
Missing (%)87.4%
Infinite0
Infinite (%)0.0%
Mean311.0294897
Minimum52.5
Maximum1383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:48.837658image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum52.5
5-th percentile124
Q1193
median263
Q3384
95-th percentile655.35
Maximum1383
Range1330.5
Interquartile range (IQR)191

Descriptive statistics

Standard deviation168.1038227
Coefficient of variation (CV)0.5404755121
Kurtosis2.677224558
Mean311.0294897
Median Absolute Deviation (MAD)85
Skewness1.45608704
Sum798412.7
Variance28258.89521
MonotonicityNot monotonic
2021-11-29T11:28:48.939473image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20216
 
0.1%
21415
 
0.1%
21714
 
0.1%
22214
 
0.1%
23914
 
0.1%
18314
 
0.1%
16813
 
0.1%
20613
 
0.1%
23313
 
0.1%
24813
 
0.1%
Other values (809)2428
 
11.9%
(Missing)17769
87.4%
ValueCountFrequency (%)
52.51
 
< 0.1%
581
 
< 0.1%
61.51
 
< 0.1%
631
 
< 0.1%
651
 
< 0.1%
763
< 0.1%
781
 
< 0.1%
791
 
< 0.1%
801
 
< 0.1%
80.51
 
< 0.1%
ValueCountFrequency (%)
13831
< 0.1%
12461
< 0.1%
12111
< 0.1%
11611
< 0.1%
10511
< 0.1%
10301
< 0.1%
9761
< 0.1%
9601
< 0.1%
9561
< 0.1%
9461
< 0.1%

Platelets-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct3464
Distinct (%)17.5%
Missing585
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean212.0161986
Minimum9.333333333
Maximum1687.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:49.040122image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum9.333333333
5-th percentile85.25
Q1144.3333333
median193
Q3256
95-th percentile400.5
Maximum1687.5
Range1678.166667
Interquartile range (IQR)111.6666667

Descriptive statistics

Standard deviation105.2199416
Coefficient of variation (CV)0.4962825589
Kurtosis10.57167137
Mean212.0161986
Median Absolute Deviation (MAD)54.6
Skewness2.070866857
Sum4187531.939
Variance11071.23611
MonotonicityNot monotonic
2021-11-29T11:28:49.136966image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18469
 
0.3%
18069
 
0.3%
16768
 
0.3%
20168
 
0.3%
19567
 
0.3%
18564
 
0.3%
21164
 
0.3%
16063
 
0.3%
16363
 
0.3%
18962
 
0.3%
Other values (3454)19094
93.9%
(Missing)585
 
2.9%
ValueCountFrequency (%)
9.3333333331
< 0.1%
9.51
< 0.1%
9.7272727271
< 0.1%
10.21
< 0.1%
12.8751
< 0.1%
132
< 0.1%
142
< 0.1%
15.666666671
< 0.1%
171
< 0.1%
17.333333332
< 0.1%
ValueCountFrequency (%)
1687.51
< 0.1%
15441
< 0.1%
13431
< 0.1%
1300.51
< 0.1%
1187.751
< 0.1%
1113.751
< 0.1%
1101.3333331
< 0.1%
1096.51
< 0.1%
1067.51
< 0.1%
1056.51
< 0.1%

Platelets-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1229
Distinct (%)6.2%
Missing585
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean211.4816819
Minimum7
Maximum1687.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:49.240734image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile84
Q1143.5
median193
Q3256
95-th percentile400
Maximum1687.5
Range1680.5
Interquartile range (IQR)112.5

Descriptive statistics

Standard deviation105.563872
Coefficient of variation (CV)0.4991631947
Kurtosis10.53365289
Mean211.4816819
Median Absolute Deviation (MAD)55
Skewness2.062033431
Sum4176974.7
Variance11143.73107
MonotonicityNot monotonic
2021-11-29T11:28:49.336386image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18097
 
0.5%
19590
 
0.4%
19388
 
0.4%
17987
 
0.4%
18487
 
0.4%
18586
 
0.4%
16386
 
0.4%
18684
 
0.4%
16784
 
0.4%
20182
 
0.4%
Other values (1219)18880
92.8%
(Missing)585
 
2.9%
ValueCountFrequency (%)
71
 
< 0.1%
8.51
 
< 0.1%
93
< 0.1%
9.51
 
< 0.1%
101
 
< 0.1%
11.51
 
< 0.1%
131
 
< 0.1%
141
 
< 0.1%
14.52
< 0.1%
151
 
< 0.1%
ValueCountFrequency (%)
1687.51
< 0.1%
15441
< 0.1%
13431
< 0.1%
1300.51
< 0.1%
11911
< 0.1%
1167.51
< 0.1%
1125.51
< 0.1%
1096.51
< 0.1%
1067.51
< 0.1%
1056.51
< 0.1%

Age-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct7280
Distinct (%)35.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.6216129
Minimum18.11
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:49.525941image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum18.11
5-th percentile30.8475
Q152.29
median64.67
Q375.66
95-th percentile84.95
Maximum89
Range70.89
Interquartile range (IQR)23.37

Descriptive statistics

Standard deviation16.23615352
Coefficient of variation (CV)0.2592739594
Kurtosis-0.2520549698
Mean62.6216129
Median Absolute Deviation (MAD)11.61
Skewness-0.5902903968
Sum1273473.12
Variance263.6126812
MonotonicityNot monotonic
2021-11-29T11:28:49.623290image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65.8213
 
0.1%
68.1712
 
0.1%
71.3712
 
0.1%
65.4712
 
0.1%
69.6812
 
0.1%
72.8111
 
0.1%
69.5811
 
0.1%
64.8611
 
0.1%
62.511
 
0.1%
77.7711
 
0.1%
Other values (7270)20220
99.4%
ValueCountFrequency (%)
18.113
< 0.1%
18.131
 
< 0.1%
18.142
< 0.1%
18.151
 
< 0.1%
18.181
 
< 0.1%
18.241
 
< 0.1%
18.321
 
< 0.1%
18.341
 
< 0.1%
18.352
< 0.1%
18.361
 
< 0.1%
ValueCountFrequency (%)
891
 
< 0.1%
88.991
 
< 0.1%
88.982
< 0.1%
88.974
< 0.1%
88.961
 
< 0.1%
88.951
 
< 0.1%
88.953
< 0.1%
88.942
< 0.1%
88.931
 
< 0.1%
88.921
 
< 0.1%

Age-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct5971
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.6216129
Minimum18.11
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:49.727415image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum18.11
5-th percentile30.8475
Q152.29
median64.67
Q375.66
95-th percentile84.95
Maximum89
Range70.89
Interquartile range (IQR)23.37

Descriptive statistics

Standard deviation16.23615352
Coefficient of variation (CV)0.2592739594
Kurtosis-0.2520549698
Mean62.6216129
Median Absolute Deviation (MAD)11.61
Skewness-0.5902903968
Sum1273473.12
Variance263.6126812
MonotonicityNot monotonic
2021-11-29T11:28:49.826462image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65.8213
 
0.1%
69.6812
 
0.1%
61.0812
 
0.1%
68.1712
 
0.1%
65.4712
 
0.1%
71.3712
 
0.1%
68.3711
 
0.1%
69.5811
 
0.1%
78.4211
 
0.1%
60.8811
 
0.1%
Other values (5961)20219
99.4%
ValueCountFrequency (%)
18.113
< 0.1%
18.131
 
< 0.1%
18.142
< 0.1%
18.151
 
< 0.1%
18.181
 
< 0.1%
18.241
 
< 0.1%
18.321
 
< 0.1%
18.341
 
< 0.1%
18.352
< 0.1%
18.361
 
< 0.1%
ValueCountFrequency (%)
891
 
< 0.1%
88.991
 
< 0.1%
88.982
 
< 0.1%
88.974
< 0.1%
88.961
 
< 0.1%
88.954
< 0.1%
88.942
 
< 0.1%
88.931
 
< 0.1%
88.925
< 0.1%
88.94
< 0.1%

Gender-mean
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size159.0 KiB
1.0
11834 
0.0
8502 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters61008
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.011834
58.2%
0.08502
41.8%

Length

2021-11-29T11:28:49.923001image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:28:49.967818image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.011834
58.2%
0.08502
41.8%

Most occurring characters

ValueCountFrequency (%)
028838
47.3%
.20336
33.3%
111834
19.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number40672
66.7%
Other Punctuation20336
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
028838
70.9%
111834
29.1%
Other Punctuation
ValueCountFrequency (%)
.20336
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common61008
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
028838
47.3%
.20336
33.3%
111834
19.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII61008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
028838
47.3%
.20336
33.3%
111834
19.4%

Gender-median
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size159.0 KiB
1.0
11834 
0.0
8502 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters61008
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.011834
58.2%
0.08502
41.8%

Length

2021-11-29T11:28:50.429986image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:28:50.482718image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.011834
58.2%
0.08502
41.8%

Most occurring characters

ValueCountFrequency (%)
028838
47.3%
.20336
33.3%
111834
19.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number40672
66.7%
Other Punctuation20336
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
028838
70.9%
111834
29.1%
Other Punctuation
ValueCountFrequency (%)
.20336
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common61008
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
028838
47.3%
.20336
33.3%
111834
19.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII61008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
028838
47.3%
.20336
33.3%
111834
19.4%

Unit1-mean
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing9522
Missing (%)46.8%
Memory size159.0 KiB
0.0
5470 
1.0
5344 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters32442
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.05470
26.9%
1.05344
26.3%
(Missing)9522
46.8%

Length

2021-11-29T11:28:50.534476image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:28:50.583097image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05470
50.6%
1.05344
49.4%

Most occurring characters

ValueCountFrequency (%)
016284
50.2%
.10814
33.3%
15344
 
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number21628
66.7%
Other Punctuation10814
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
016284
75.3%
15344
 
24.7%
Other Punctuation
ValueCountFrequency (%)
.10814
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common32442
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
016284
50.2%
.10814
33.3%
15344
 
16.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII32442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
016284
50.2%
.10814
33.3%
15344
 
16.5%

Unit1-median
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing9522
Missing (%)46.8%
Memory size159.0 KiB
0.0
5470 
1.0
5344 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters32442
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.05470
26.9%
1.05344
26.3%
(Missing)9522
46.8%

Length

2021-11-29T11:28:50.636067image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:28:50.685023image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.05470
50.6%
1.05344
49.4%

Most occurring characters

ValueCountFrequency (%)
016284
50.2%
.10814
33.3%
15344
 
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number21628
66.7%
Other Punctuation10814
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
016284
75.3%
15344
 
24.7%
Other Punctuation
ValueCountFrequency (%)
.10814
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common32442
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
016284
50.2%
.10814
33.3%
15344
 
16.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII32442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
016284
50.2%
.10814
33.3%
15344
 
16.5%

Unit2-mean
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing9522
Missing (%)46.8%
Memory size159.0 KiB
1.0
5470 
0.0
5344 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters32442
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.05470
26.9%
0.05344
26.3%
(Missing)9522
46.8%

Length

2021-11-29T11:28:50.736505image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:28:50.785231image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.05470
50.6%
0.05344
49.4%

Most occurring characters

ValueCountFrequency (%)
016158
49.8%
.10814
33.3%
15470
 
16.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number21628
66.7%
Other Punctuation10814
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
016158
74.7%
15470
 
25.3%
Other Punctuation
ValueCountFrequency (%)
.10814
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common32442
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
016158
49.8%
.10814
33.3%
15470
 
16.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII32442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
016158
49.8%
.10814
33.3%
15470
 
16.9%

Unit2-median
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing9522
Missing (%)46.8%
Memory size159.0 KiB
1.0
5470 
0.0
5344 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters32442
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
1.05470
26.9%
0.05344
26.3%
(Missing)9522
46.8%

Length

2021-11-29T11:28:50.836762image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:28:50.885375image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.05470
50.6%
0.05344
49.4%

Most occurring characters

ValueCountFrequency (%)
016158
49.8%
.10814
33.3%
15470
 
16.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number21628
66.7%
Other Punctuation10814
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
016158
74.7%
15470
 
25.3%
Other Punctuation
ValueCountFrequency (%)
.10814
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common32442
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
016158
49.8%
.10814
33.3%
15470
 
16.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII32442
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
016158
49.8%
.10814
33.3%
15470
 
16.9%

HospAdmTime-mean
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct7676
Distinct (%)37.7%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-48.67841062
Minimum-3710.66
Maximum23.99
Zeros168
Zeros (%)0.8%
Negative19912
Negative (%)97.9%
Memory size159.0 KiB
2021-11-29T11:28:50.949854image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-3710.66
5-th percentile-236.12
Q1-34.135
median-2.77
Q3-0.02
95-th percentile-0.01
Maximum23.99
Range3734.65
Interquartile range (IQR)34.115

Descriptive statistics

Standard deviation143.6833182
Coefficient of variation (CV)-2.951684666
Kurtosis123.0885825
Mean-48.67841062
Median Absolute Deviation (MAD)2.75
Skewness-8.542504055
Sum-989875.48
Variance20644.89593
MonotonicityNot monotonic
2021-11-29T11:28:51.048965image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.023561
 
17.5%
-0.031635
 
8.0%
-0.011065
 
5.2%
-0.04631
 
3.1%
-0.03339
 
1.7%
-0.03316
 
1.6%
-0.05256
 
1.3%
0168
 
0.8%
-0.02122
 
0.6%
-0.0691
 
0.4%
Other values (7666)12151
59.8%
ValueCountFrequency (%)
-3710.661
< 0.1%
-3322.91
< 0.1%
-3269.11
< 0.1%
-3212.561
< 0.1%
-3141.551
< 0.1%
-2668.771
< 0.1%
-2562.531
< 0.1%
-2506.691
< 0.1%
-2476.581
< 0.1%
-2379.761
< 0.1%
ValueCountFrequency (%)
23.991
< 0.1%
22.041
< 0.1%
20.041
< 0.1%
17.341
< 0.1%
16.021
< 0.1%
14.651
< 0.1%
14.211
< 0.1%
141
< 0.1%
11.941
< 0.1%
10.991
< 0.1%

HospAdmTime-median
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct7152
Distinct (%)35.2%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean-48.67841062
Minimum-3710.66
Maximum23.99
Zeros168
Zeros (%)0.8%
Negative19912
Negative (%)97.9%
Memory size159.0 KiB
2021-11-29T11:28:51.155759image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-3710.66
5-th percentile-236.12
Q1-34.135
median-2.77
Q3-0.02
95-th percentile-0.01
Maximum23.99
Range3734.65
Interquartile range (IQR)34.115

Descriptive statistics

Standard deviation143.6833182
Coefficient of variation (CV)-2.951684666
Kurtosis123.0885825
Mean-48.67841062
Median Absolute Deviation (MAD)2.75
Skewness-8.542504055
Sum-989875.48
Variance20644.89593
MonotonicityNot monotonic
2021-11-29T11:28:51.255196image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.023749
 
18.4%
-0.032290
 
11.3%
-0.011114
 
5.5%
-0.04658
 
3.2%
-0.05314
 
1.5%
0168
 
0.8%
-0.06136
 
0.7%
-0.0782
 
0.4%
-0.0840
 
0.2%
-0.0932
 
0.2%
Other values (7142)11752
57.8%
ValueCountFrequency (%)
-3710.661
< 0.1%
-3322.91
< 0.1%
-3269.11
< 0.1%
-3212.561
< 0.1%
-3141.551
< 0.1%
-2668.771
< 0.1%
-2562.531
< 0.1%
-2506.691
< 0.1%
-2476.581
< 0.1%
-2379.761
< 0.1%
ValueCountFrequency (%)
23.991
< 0.1%
22.041
< 0.1%
20.041
< 0.1%
17.341
< 0.1%
16.021
< 0.1%
14.651
< 0.1%
14.211
< 0.1%
141
< 0.1%
11.941
< 0.1%
10.991
< 0.1%

ICULOS-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct226
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.84522522
Minimum4.5
Maximum320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:51.361461image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4.5
5-th percentile8.5
Q114
median20.5
Q325
95-th percentile30
Maximum320
Range315.5
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.71782428
Coefficient of variation (CV)0.5621346929
Kurtosis84.39630215
Mean20.84522522
Median Absolute Deviation (MAD)5.5
Skewness6.167088074
Sum423908.5
Variance137.3074058
MonotonicityNot monotonic
2021-11-29T11:28:51.549407image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.5626
 
3.1%
22619
 
3.0%
21598
 
2.9%
23.5597
 
2.9%
20.5596
 
2.9%
20591
 
2.9%
23585
 
2.9%
22.5579
 
2.8%
24570
 
2.8%
19.5570
 
2.8%
Other values (216)14405
70.8%
ValueCountFrequency (%)
4.588
 
0.4%
587
 
0.4%
5.574
 
0.4%
687
 
0.4%
6.591
 
0.4%
7110
0.5%
7.5149
0.7%
8157
0.8%
8.5206
1.0%
9261
1.3%
ValueCountFrequency (%)
3201
 
< 0.1%
3091
 
< 0.1%
2861
 
< 0.1%
169.51
 
< 0.1%
1691
 
< 0.1%
168.55
< 0.1%
165.51
 
< 0.1%
164.51
 
< 0.1%
1541
 
< 0.1%
1531
 
< 0.1%

ICULOS-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct226
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.84522522
Minimum4.5
Maximum320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:51.650929image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4.5
5-th percentile8.5
Q114
median20.5
Q325
95-th percentile30
Maximum320
Range315.5
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.71782428
Coefficient of variation (CV)0.5621346929
Kurtosis84.39630215
Mean20.84522522
Median Absolute Deviation (MAD)5.5
Skewness6.167088074
Sum423908.5
Variance137.3074058
MonotonicityNot monotonic
2021-11-29T11:28:51.745619image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.5626
 
3.1%
22619
 
3.0%
21598
 
2.9%
23.5597
 
2.9%
20.5596
 
2.9%
20591
 
2.9%
23585
 
2.9%
22.5579
 
2.8%
24570
 
2.8%
19.5570
 
2.8%
Other values (216)14405
70.8%
ValueCountFrequency (%)
4.588
 
0.4%
587
 
0.4%
5.574
 
0.4%
687
 
0.4%
6.591
 
0.4%
7110
0.5%
7.5149
0.7%
8157
0.8%
8.5206
1.0%
9261
1.3%
ValueCountFrequency (%)
3201
 
< 0.1%
3091
 
< 0.1%
2861
 
< 0.1%
169.51
 
< 0.1%
1691
 
< 0.1%
168.55
< 0.1%
165.51
 
< 0.1%
164.51
 
< 0.1%
1541
 
< 0.1%
1531
 
< 0.1%

SepsisLabel-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct350
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03360332271
Minimum0
Maximum1
Zeros18546
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:51.849887image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.2083333333
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1431976379
Coefficient of variation (CV)4.261413049
Kurtosis27.7509207
Mean0.03360332271
Median Absolute Deviation (MAD)0
Skewness5.164975623
Sum683.3571706
Variance0.02050556349
MonotonicityNot monotonic
2021-11-29T11:28:51.952748image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018546
91.2%
1203
 
1.0%
0.833333333333
 
0.2%
0.588235294131
 
0.2%
0.909090909130
 
0.1%
0.666666666727
 
0.1%
0.476190476225
 
0.1%
0.714285714324
 
0.1%
0.555555555623
 
0.1%
0.523
 
0.1%
Other values (340)1371
 
6.7%
ValueCountFrequency (%)
018546
91.2%
0.017857142861
 
< 0.1%
0.027272727271
 
< 0.1%
0.029508196721
 
< 0.1%
0.030487804881
 
< 0.1%
0.031468531471
 
< 0.1%
0.032490974731
 
< 0.1%
0.032727272731
 
< 0.1%
0.032786885251
 
< 0.1%
0.033582089551
 
< 0.1%
ValueCountFrequency (%)
1203
1.0%
0.909090909130
 
0.1%
0.917
 
0.1%
0.833333333333
 
0.2%
0.818181818213
 
0.1%
0.769230769217
 
0.1%
0.7514
 
0.1%
0.714285714324
 
0.1%
0.692307692313
 
0.1%
0.666666666727
 
0.1%

SepsisLabel-median
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size159.0 KiB
0.0
19777 
1.0
 
536
0.5
 
23

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters61008
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.019777
97.3%
1.0536
 
2.6%
0.523
 
0.1%

Length

2021-11-29T11:28:52.046994image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:28:52.100761image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.019777
97.3%
1.0536
 
2.6%
0.523
 
0.1%

Most occurring characters

ValueCountFrequency (%)
040113
65.8%
.20336
33.3%
1536
 
0.9%
523
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number40672
66.7%
Other Punctuation20336
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
040113
98.6%
1536
 
1.3%
523
 
0.1%
Other Punctuation
ValueCountFrequency (%)
.20336
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common61008
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
040113
65.8%
.20336
33.3%
1536
 
0.9%
523
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII61008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
040113
65.8%
.20336
33.3%
1536
 
0.9%
523
 
< 0.1%

Sepsis-mean
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size159.0 KiB
0.0
18546 
1.0
 
1790

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters61008
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.018546
91.2%
1.01790
 
8.8%

Length

2021-11-29T11:28:52.161012image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:28:52.213831image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.018546
91.2%
1.01790
 
8.8%

Most occurring characters

ValueCountFrequency (%)
038882
63.7%
.20336
33.3%
11790
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number40672
66.7%
Other Punctuation20336
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
038882
95.6%
11790
 
4.4%
Other Punctuation
ValueCountFrequency (%)
.20336
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common61008
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
038882
63.7%
.20336
33.3%
11790
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII61008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
038882
63.7%
.20336
33.3%
11790
 
2.9%

Sepsis-median
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size159.0 KiB
0.0
18546 
1.0
 
1790

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters61008
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.018546
91.2%
1.01790
 
8.8%

Length

2021-11-29T11:28:52.269027image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:28:52.321524image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.018546
91.2%
1.01790
 
8.8%

Most occurring characters

ValueCountFrequency (%)
038882
63.7%
.20336
33.3%
11790
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number40672
66.7%
Other Punctuation20336
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
038882
95.6%
11790
 
4.4%
Other Punctuation
ValueCountFrequency (%)
.20336
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common61008
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
038882
63.7%
.20336
33.3%
11790
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII61008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
038882
63.7%
.20336
33.3%
11790
 
2.9%

Hours-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct228
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.85793666
Minimum8
Maximum336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:52.383641image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile15
Q125
median39
Q347
95-th percentile58
Maximum336
Range328
Interquartile range (IQR)22

Descriptive statistics

Standard deviation22.30865867
Coefficient of variation (CV)0.5741081639
Kurtosis40.49091179
Mean38.85793666
Median Absolute Deviation (MAD)11
Skewness4.703211094
Sum790215
Variance497.6762517
MonotonicityNot monotonic
2021-11-29T11:28:52.483422image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36700
 
3.4%
39665
 
3.3%
38656
 
3.2%
40634
 
3.1%
41632
 
3.1%
37632
 
3.1%
43600
 
3.0%
42597
 
2.9%
44580
 
2.9%
46560
 
2.8%
Other values (218)14080
69.2%
ValueCountFrequency (%)
8124
 
0.6%
9122
 
0.6%
1095
 
0.5%
11114
 
0.6%
12121
 
0.6%
13145
0.7%
14194
1.0%
15231
1.1%
16274
1.3%
17348
1.7%
ValueCountFrequency (%)
3365
< 0.1%
3351
 
< 0.1%
3341
 
< 0.1%
3301
 
< 0.1%
3281
 
< 0.1%
3052
 
< 0.1%
2971
 
< 0.1%
2861
 
< 0.1%
2791
 
< 0.1%
2771
 
< 0.1%

Hours-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct228
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.85793666
Minimum8
Maximum336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size159.0 KiB
2021-11-29T11:28:52.589130image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile15
Q125
median39
Q347
95-th percentile58
Maximum336
Range328
Interquartile range (IQR)22

Descriptive statistics

Standard deviation22.30865867
Coefficient of variation (CV)0.5741081639
Kurtosis40.49091179
Mean38.85793666
Median Absolute Deviation (MAD)11
Skewness4.703211094
Sum790215
Variance497.6762517
MonotonicityNot monotonic
2021-11-29T11:28:52.687278image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36700
 
3.4%
39665
 
3.3%
38656
 
3.2%
40634
 
3.1%
41632
 
3.1%
37632
 
3.1%
43600
 
3.0%
42597
 
2.9%
44580
 
2.9%
46560
 
2.8%
Other values (218)14080
69.2%
ValueCountFrequency (%)
8124
 
0.6%
9122
 
0.6%
1095
 
0.5%
11114
 
0.6%
12121
 
0.6%
13145
0.7%
14194
1.0%
15231
1.1%
16274
1.3%
17348
1.7%
ValueCountFrequency (%)
3365
< 0.1%
3351
 
< 0.1%
3341
 
< 0.1%
3301
 
< 0.1%
3281
 
< 0.1%
3052
 
< 0.1%
2971
 
< 0.1%
2861
 
< 0.1%
2791
 
< 0.1%
2771
 
< 0.1%

Interactions

Correlations

2021-11-29T11:28:52.969681image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-11-29T11:28:54.862063image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-11-29T11:28:56.757028image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-11-29T11:28:58.538942image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2021-11-29T11:28:30.223785image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2021-11-29T11:28:32.625798image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2021-11-29T11:28:34.865285image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

PatientIDHR-meanHR-medianO2Sat-meanO2Sat-medianTemp-meanTemp-medianSBP-meanSBP-medianMAP-meanMAP-medianDBP-meanDBP-medianResp-meanResp-medianEtCO2-meanEtCO2-medianBaseExcess-meanBaseExcess-medianHCO3-meanHCO3-medianFiO2-meanFiO2-medianpH-meanpH-medianPaCO2-meanPaCO2-medianSaO2-meanSaO2-medianAST-meanAST-medianBUN-meanBUN-medianAlkalinephos-meanAlkalinephos-medianCalcium-meanCalcium-medianChloride-meanChloride-medianCreatinine-meanCreatinine-medianBilirubin_direct-meanBilirubin_direct-medianGlucose-meanGlucose-medianLactate-meanLactate-medianMagnesium-meanMagnesium-medianPhosphate-meanPhosphate-medianPotassium-meanPotassium-medianBilirubin_total-meanBilirubin_total-medianTroponinI-meanTroponinI-medianHct-meanHct-medianHgb-meanHgb-medianPTT-meanPTT-medianWBC-meanWBC-medianFibrinogen-meanFibrinogen-medianPlatelets-meanPlatelets-medianAge-meanAge-medianGender-meanGender-medianUnit1-meanUnit1-medianUnit2-meanUnit2-medianHospAdmTime-meanHospAdmTime-medianICULOS-meanICULOS-medianSepsisLabel-meanSepsisLabel-medianSepsis-meanSepsis-medianHours-meanHours-median
01101.571429104.091.47727391.036.77800036.725126.809524128.0087.26190587.915NaNNaN24.82000025.000NaNNaN20.71428620.046.50000046.50.2825000.297.3471437.34095.33333398.086.50000088.516.00000016.018.00000018.098.098.09.4500009.4585.00000085.00.7000000.70NaNNaN163.000000163.0NaNNaN2.1000002.103.5000003.504.2000004.20.3000000.3NaNNaN36.70000036.7012.35000012.35NaNNaN10.20000010.2NaNNaN327.500000327.583.1483.140.00.0NaNNaNNaNNaN-0.03-0.0327.527.50.000000.00.00.054.054.0
1260.95454560.097.00000097.036.16500036.110136.600000133.0066.70454565.00044.06666743.0014.23684212.000NaNNaNNaNNaN22.00000022.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN100.000000100.0NaNNaN7.9000007.90113.000000113.02.5000002.50NaNNaN78.00000078.0NaNNaN2.5000002.504.4000004.405.1000005.1NaNNaNNaNNaN27.80000027.809.7000009.70NaNNaN11.00000011.0NaNNaN158.000000158.075.9175.910.00.00.00.01.01.0-98.60-98.6012.012.00.000000.00.00.023.023.0
2379.61111181.095.43181895.037.60937537.585140.033333140.0081.04800081.00054.39285753.5025.63333326.000NaNNaN6.5000006.530.66666731.00.6428570.607.4966677.49039.50000039.5NaNNaNNaNNaN28.66666730.0NaNNaN11.00000011.0099.00000099.00.8666670.90NaNNaN98.000000113.0NaNNaN2.4333332.402.5333332.403.7750003.8NaNNaNNaNNaN28.65000028.159.6333339.1030.00000030.09.0000008.7NaNNaN479.666667486.045.8245.820.00.01.01.00.00.0-1195.71-1195.7124.524.50.000000.00.00.048.048.0
34102.444444105.098.20370498.036.45500036.390113.019231114.5067.14730867.83551.42857150.2518.88461518.000NaNNaN0.0000000.022.00000022.0NaNNaN7.3900007.40043.00000043.097.83333398.0NaNNaN16.50000016.5NaNNaN8.2000008.20106.500000106.50.8000000.80NaNNaN135.33333384.0NaNNaN2.0500002.053.8000003.804.4333334.3NaNNaNNaNNaN25.80000025.808.3000008.3021.80000021.87.6000007.6NaNNaN182.000000182.065.7165.710.00.00.00.01.01.0-8.77-8.7715.015.00.000000.00.00.029.029.0
4573.91666773.597.50000097.036.99222237.220132.770833133.5087.08823587.000NaNNaN16.50000016.000NaNNaNNaNNaN25.66666725.0NaNNaNNaNNaNNaNNaNNaNNaN20.66666716.07.3333337.069.065.08.1666678.20105.333333105.00.6333330.60NaNNaN123.000000128.0NaNNaN2.2000002.202.8666672.803.5666673.60.5666670.6NaNNaN42.13333341.0014.70000014.4029.00000029.06.9333338.0NaNNaN279.000000276.028.0928.091.01.01.01.00.00.0-0.05-0.0525.525.50.000000.00.00.048.048.0
56100.000000100.598.43750098.536.60000036.670125.933333122.0088.11066789.000NaNNaN26.58333324.000NaNNaN0.0000000.029.00000029.00.4000000.407.3400007.34047.00000047.0NaNNaNNaNNaN9.0000009.0NaNNaNNaNNaN111.000000111.00.7000000.70NaNNaN144.66666773.01.4000001.4NaNNaNNaNNaN3.8000003.8NaNNaNNaNNaN36.90000036.9012.20000012.20NaNNaN12.00000012.0NaNNaN298.000000298.052.0152.011.01.01.01.00.00.0-0.03-0.0311.011.00.000000.00.00.017.017.0
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Last rows

PatientIDHR-meanHR-medianO2Sat-meanO2Sat-medianTemp-meanTemp-medianSBP-meanSBP-medianMAP-meanMAP-medianDBP-meanDBP-medianResp-meanResp-medianEtCO2-meanEtCO2-medianBaseExcess-meanBaseExcess-medianHCO3-meanHCO3-medianFiO2-meanFiO2-medianpH-meanpH-medianPaCO2-meanPaCO2-medianSaO2-meanSaO2-medianAST-meanAST-medianBUN-meanBUN-medianAlkalinephos-meanAlkalinephos-medianCalcium-meanCalcium-medianChloride-meanChloride-medianCreatinine-meanCreatinine-medianBilirubin_direct-meanBilirubin_direct-medianGlucose-meanGlucose-medianLactate-meanLactate-medianMagnesium-meanMagnesium-medianPhosphate-meanPhosphate-medianPotassium-meanPotassium-medianBilirubin_total-meanBilirubin_total-medianTroponinI-meanTroponinI-medianHct-meanHct-medianHgb-meanHgb-medianPTT-meanPTT-medianWBC-meanWBC-medianFibrinogen-meanFibrinogen-medianPlatelets-meanPlatelets-medianAge-meanAge-medianGender-meanGender-medianUnit1-meanUnit1-medianUnit2-meanUnit2-medianHospAdmTime-meanHospAdmTime-medianICULOS-meanICULOS-medianSepsisLabel-meanSepsisLabel-medianSepsis-meanSepsis-medianHours-meanHours-median
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203332064185.90000084.5097.02381098.037.05500037.055116.976190113.5067.15789566.061.21428663.016.38095215.00NaNNaNNaNNaN30.50000030.5NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN17.00000017.0NaNNaN8.8500008.8599.00000099.00.7500000.75NaNNaN110.000000109.0NaNNaN2.2500002.253.5500003.553.5000003.50NaNNaNNaNNaN32.65000032.6511.10000011.1023.0023.009.1500009.15NaNNaN302.500000302.533.0133.011.01.0NaNNaNNaNNaN-0.01-0.0116.016.00.0000000.00.00.021.021.0
203342064296.52500094.0099.512821100.036.45777836.560107.555556107.0074.68571475.056.22222255.518.06250018.00NaNNaN0.00.027.50000027.50.4666670.57.4500007.45034.00000034.099.00000099.0NaNNaN12.00000012.0NaNNaN8.8500008.85106.000000106.00.4000000.40NaNNaN118.000000118.0NaNNaN1.9500001.954.2000004.204.2000004.20NaNNaNNaNNaN31.33333330.8010.56666710.3027.4027.407.5333337.30NaNNaN257.000000257.069.8069.800.00.0NaNNaNNaNNaN-10.58-10.5821.521.50.0000000.00.00.042.042.0
203352064394.44827690.0097.17857197.538.08375038.440148.420000149.0093.48387190.076.76000072.016.03571416.00NaNNaN0.01.025.66666726.00.4909090.57.3740007.42045.20000041.095.20000098.0103.5103.520.50000020.5128.5128.58.2333338.30103.666667104.02.1000002.20NaNNaN162.333333175.01.6000001.62.1500002.254.0250003.903.7750003.850.70.7NaNNaN31.16666729.7011.55000011.5529.7529.7513.95000013.95NaNNaN325.500000325.562.2962.291.01.0NaNNaNNaNNaN-0.03-0.0319.019.00.2727270.01.01.033.033.0